Compare commits

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22 Commits

Author SHA1 Message Date
Xuwznln
195fad9398 upgrade to 0.11.1 2026-04-22 19:54:16 +08:00
Xuwznln
898ed5d34b use gitee to install pylabrobot
fix virtual import
2026-04-22 19:51:10 +08:00
Xuwznln
60cbedc4b2 v0.11.0
(cherry picked from commit 67a74172dc)
2026-04-22 19:50:42 +08:00
Xuwznln
2d6a9f7db9 fix possible conversion error 2026-04-22 00:09:06 +08:00
Xuwznln
5dca3d8c3d update workbench example 2026-04-15 16:33:43 +08:00
Xuwznln
37cbed722a update aksk desc 2026-04-13 23:17:43 +08:00
Xuwznln
132cffbe7c print res query logs 2026-04-13 20:24:48 +08:00
Xuwznln
36e5ff804c Fix skills exec error with action type 2026-04-13 20:16:00 +08:00
Xuwznln
eaf8ad5609 Fix skills exec error with action type 2026-04-13 17:02:38 +08:00
Xuwznln
16122ad2fa Update Skills 2026-04-13 15:57:50 +08:00
Xuwznln
d3fef85dd8 Update Skills addr 2026-04-13 11:15:35 +08:00
Xuwznln
f77ac2a5e8 Change uni-lab. to leap-lab.
Support unit in pylabrobot
2026-04-12 15:32:27 +08:00
Xuwznln
93ac55a65b Support async func. 2026-04-11 18:13:08 +08:00
Xuwznln
af35debe38 change to leap-lab backend. Support feedback interval. Reduce cocurrent lags. 2026-04-11 06:22:53 +08:00
Xuwznln
58997f0654 fix create_resource_with_slot 2026-04-09 17:34:25 +08:00
Xuwznln
fbfc3e30fb update unilabos_formulation & batch-submit-exp 2026-04-09 16:40:31 +08:00
Xuwznln
1d1c1367df scale multi exec thread up to 48 2026-04-09 14:15:38 +08:00
Xuwznln
c91b600e90 update handle creation api 2026-04-02 22:53:31 +08:00
Xuwznln
49b3c850f9 fit cocurrent gap 2026-04-02 16:01:23 +08:00
Xuwznln
25c94af755 add running status debounce 2026-04-01 16:01:22 +08:00
Xuwznln
861a012747 allow non @topic_config support 2026-03-31 13:15:06 +08:00
Xuwznln
ee63e95f50 update skill 2026-03-25 23:20:13 +08:00
104 changed files with 8300 additions and 5191 deletions

View File

@@ -3,7 +3,7 @@
package:
name: unilabos
version: 0.10.19
version: 0.11.1
source:
path: ../../unilabos
@@ -54,7 +54,7 @@ requirements:
- pymodbus
- matplotlib
- pylibftdi
- uni-lab::unilabos-env ==0.10.19
- uni-lab::unilabos-env ==0.11.1
about:
repository: https://github.com/deepmodeling/Uni-Lab-OS

View File

@@ -2,7 +2,7 @@
package:
name: unilabos-env
version: 0.10.19
version: 0.11.1
build:
noarch: generic

View File

@@ -3,7 +3,7 @@
package:
name: unilabos-full
version: 0.10.19
version: 0.11.1
build:
noarch: generic
@@ -11,7 +11,7 @@ build:
requirements:
run:
# Base unilabos package (includes unilabos-env)
- uni-lab::unilabos ==0.10.19
- uni-lab::unilabos ==0.11.1
# Documentation tools
- sphinx
- sphinx_rtd_theme

View File

@@ -27,14 +27,15 @@ python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
|-------------|------|
| `test` | `https://uni-lab.test.bohrium.com` |
| `uat` | `https://uni-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://uni-lab.bohrium.com` |
| `--addr` | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
AUTH="Authorization: Lab <gen_auth.py 输出的 token>"
@@ -65,7 +66,7 @@ curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
返回:
```json
{"code": 0, "data": {"uuid": "xxx", "name": "实验室名称"}}
{ "code": 0, "data": { "uuid": "xxx", "name": "实验室名称" } }
```
记住 `data.uuid``lab_uuid`
@@ -90,6 +91,7 @@ curl -s -X POST "$BASE/api/v1/lab/reagent" \
```
返回成功时包含试剂 UUID
```json
{"code": 0, "data": {"uuid": "xxx", ...}}
```
@@ -98,28 +100,28 @@ curl -s -X POST "$BASE/api/v1/lab/reagent" \
## 试剂字段说明
| 字段 | 类型 | 必填 | 说明 | 示例 |
|------|------|------|------|------|
| `lab_uuid` | string | 是 | 实验室 UUID从 API #1 获取) | `"8511c672-..."` |
| `cas` | string | 是 | CAS 注册号 | `"7732-18-3"` |
| `name` | string | 是 | 试剂中文/英文名称 | `"水"` |
| `molecular_formula` | string | 是 | 分子式 | `"H2O"` |
| `smiles` | string | 是 | SMILES 表示 | `"O"` |
| `stock_in_quantity` | number | 是 | 入库数量 | `10` |
| `unit` | string | 是 | 单位(字符串,见下表) | `"mL"` |
| `supplier` | string | 否 | 供应商名称 | `"国药集团"` |
| `production_date` | string | 否 | 生产日期ISO 8601 | `"2025-11-18T00:00:00Z"` |
| `expiry_date` | string | 否 | 过期日期ISO 8601 | `"2026-11-18T00:00:00Z"` |
| 字段 | 类型 | 必填 | 说明 | 示例 |
| ------------------- | ------ | ---- | ----------------------------- | ------------------------ |
| `lab_uuid` | string | 是 | 实验室 UUID从 API #1 获取) | `"8511c672-..."` |
| `cas` | string | 是 | CAS 注册号 | `"7732-18-3"` |
| `name` | string | 是 | 试剂中文/英文名称 | `"水"` |
| `molecular_formula` | string | 是 | 分子式 | `"H2O"` |
| `smiles` | string | 是 | SMILES 表示 | `"O"` |
| `stock_in_quantity` | number | 是 | 入库数量 | `10` |
| `unit` | string | 是 | 单位(字符串,见下表) | `"mL"` |
| `supplier` | string | 否 | 供应商名称 | `"国药集团"` |
| `production_date` | string | 否 | 生产日期ISO 8601 | `"2025-11-18T00:00:00Z"` |
| `expiry_date` | string | 否 | 过期日期ISO 8601 | `"2026-11-18T00:00:00Z"` |
### unit 单位值
| 值 | 单位 |
|------|------|
| 值 | 单位 |
| ------ | ---- |
| `"mL"` | 毫升 |
| `"L"` | 升 |
| `"g"` | 克 |
| `"L"` | 升 |
| `"g"` | 克 |
| `"kg"` | 千克 |
| `"瓶"` | 瓶 |
| `"瓶"` | 瓶 |
> 根据试剂状态选择:液体用 `"mL"` / `"L"`,固体用 `"g"` / `"kg"`。
@@ -133,8 +135,22 @@ curl -s -X POST "$BASE/api/v1/lab/reagent" \
```json
[
{"cas": "7732-18-3", "name": "水", "molecular_formula": "H2O", "smiles": "O", "stock_in_quantity": 10, "unit": "mL"},
{"cas": "64-17-5", "name": "乙醇", "molecular_formula": "C2H6O", "smiles": "CCO", "stock_in_quantity": 5, "unit": "L"}
{
"cas": "7732-18-3",
"name": "水",
"molecular_formula": "H2O",
"smiles": "O",
"stock_in_quantity": 10,
"unit": "mL"
},
{
"cas": "64-17-5",
"name": "乙醇",
"molecular_formula": "C2H6O",
"smiles": "CCO",
"stock_in_quantity": 5,
"unit": "L"
}
]
```
@@ -160,9 +176,20 @@ cas,name,molecular_formula,smiles,stock_in_quantity,unit,supplier,production_dat
7732-18-3,水,H2O,O,10,mL,农夫山泉,2025-11-18T00:00:00Z,2026-11-18T00:00:00Z
```
### 日期格式规则(重要)
所有日期字段(`production_date``expiry_date`**必须**使用 ISO 8601 完整格式:`YYYY-MM-DDTHH:MM:SSZ`
- 用户输入 `2025-03-01` → 转换为 `"2025-03-01T00:00:00Z"`
- 用户输入 `2025/9/1` → 转换为 `"2025-09-01T00:00:00Z"`
- 用户未提供日期 → 使用当天日期 + `T00:00:00Z`,有效期默认 +1 年
**禁止**发送不带时间部分的日期字符串(如 `"2025-03-01"`API 会拒绝。
### 执行与汇报
每次 API 调用后:
1. 检查返回 `code`0 = 成功)
2. 记录成功/失败数量
3. 全部完成后汇总:「共录入 N 条试剂,成功 X 条,失败 Y 条」
@@ -172,28 +199,29 @@ cas,name,molecular_formula,smiles,stock_in_quantity,unit,supplier,production_dat
## 常见试剂速查表
| 名称 | CAS | 分子式 | SMILES |
|------|-----|--------|--------|
| 水 | 7732-18-3 | H2O | O |
| 乙醇 | 64-17-5 | C2H6O | CCO |
| 甲醇 | 67-56-1 | CH4O | CO |
| 丙酮 | 67-64-1 | C3H6O | CC(C)=O |
| 二甲基亚砜(DMSO) | 67-68-5 | C2H6OS | CS(C)=O |
| 乙酸乙酯 | 141-78-6 | C4H8O2 | CCOC(C)=O |
| 二氯甲烷 | 75-09-2 | CH2Cl2 | ClCCl |
| 四氢呋喃(THF) | 109-99-9 | C4H8O | C1CCOC1 |
| N,N-二甲基甲酰胺(DMF) | 68-12-2 | C3H7NO | CN(C)C=O |
| 氯仿 | 67-66-3 | CHCl3 | ClC(Cl)Cl |
| 乙腈 | 75-05-8 | C2H3N | CC#N |
| 甲苯 | 108-88-3 | C7H8 | Cc1ccccc1 |
| 正己烷 | 110-54-3 | C6H14 | CCCCCC |
| 异丙醇 | 67-63-0 | C3H8O | CC(C)O |
| 盐酸 | 7647-01-0 | HCl | Cl |
| 酸 | 7664-93-9 | H2SO4 | OS(O)(=O)=O |
| 氢氧化钠 | 1310-73-2 | NaOH | [Na]O |
| 碳酸钠 | 497-19-8 | Na2CO3 | [Na]OC([O-])=O.[Na+] |
| 氯化钠 | 7647-14-5 | NaCl | [Na]Cl |
| 乙二胺四乙酸(EDTA) | 60-00-4 | C10H16N2O8 | OC(=O)CN(CCN(CC(O)=O)CC(O)=O)CC(O)=O |
| 名称 | CAS | 分子式 | SMILES |
| --------------------- | --------- | ---------- | ------------------------------------ |
| 水 | 7732-18-3 | H2O | O |
| 乙醇 | 64-17-5 | C2H6O | CCO |
| 乙酸 | 64-19-7 | C2H4O2 | CC(O)=O |
| 甲醇 | 67-56-1 | CH4O | CO |
| 丙酮 | 67-64-1 | C3H6O | CC(C)=O |
| 二甲基亚砜(DMSO) | 67-68-5 | C2H6OS | CS(C)=O |
| 乙酸乙酯 | 141-78-6 | C4H8O2 | CCOC(C)=O |
| 二氯甲烷 | 75-09-2 | CH2Cl2 | ClCCl |
| 四氢呋喃(THF) | 109-99-9 | C4H8O | C1CCOC1 |
| N,N-二甲基甲酰胺(DMF) | 68-12-2 | C3H7NO | CN(C)C=O |
| 氯仿 | 67-66-3 | CHCl3 | ClC(Cl)Cl |
| 乙腈 | 75-05-8 | C2H3N | CC#N |
| 甲苯 | 108-88-3 | C7H8 | Cc1ccccc1 |
| 正己烷 | 110-54-3 | C6H14 | CCCCCC |
| 异丙醇 | 67-63-0 | C3H8O | CC(C)O |
| | 7647-01-0 | HCl | Cl |
| 硫酸 | 7664-93-9 | H2SO4 | OS(O)(=O)=O |
| 氢氧化钠 | 1310-73-2 | NaOH | [Na]O |
| 碳酸钠 | 497-19-8 | Na2CO3 | [Na]OC([O-])=O.[Na+] |
| 氯化钠 | 7647-14-5 | NaCl | [Na]Cl |
| 乙二胺四乙酸(EDTA) | 60-00-4 | C10H16N2O8 | OC(=O)CN(CCN(CC(O)=O)CC(O)=O)CC(O)=O |
> 此表仅供快速参考。对于不在表中的试剂agent 应根据化学知识推断或提示用户补充。

View File

@@ -1,11 +1,13 @@
---
name: batch-submit-experiment
description: Batch submit experiments (notebooks) to Uni-Lab platform — list workflows, generate node_params from registry schemas, submit multiple rounds. Use when the user wants to submit experiments, create notebooks, batch run workflows, or mentions 提交实验/批量实验/notebook/实验轮次.
description: Batch submit experiments (notebooks) to the Uni-Lab cloud platform (leap-lab) — list workflows, generate node_params from registry schemas, submit multiple rounds, check notebook status. Use when the user wants to submit experiments, create notebooks, batch run workflows, check experiment status, or mentions 提交实验/批量实验/notebook/实验轮次/实验状态.
---
# 批量提交实验指南
# Uni-Lab 批量提交实验指南
通过云端 API 批量提交实验notebook支持多轮实验参数配置。根据 workflow 模板详情和本地设备注册表自动生成 `node_params` 模板。
通过 Uni-Lab 云端 API 批量提交实验notebook支持多轮实验参数配置。根据 workflow 模板详情和本地设备注册表自动生成 `node_params` 模板。
> **重要**:本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**`Lab` 是 Uni-Lab 的 auth scheme 关键字,**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
## 前置条件(缺一不可)
@@ -18,25 +20,28 @@ description: Batch submit experiments (notebooks) to Uni-Lab platform — list w
生成 AUTH token任选一种方式
```bash
# 方式一Python 一行生成
# 方式一Python 一行生成注意scheme 是 "Lab" 不是 "Basic"
python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
# 方式二:手动计算
# base64(ak:sk) → Authorization: Lab <token>
# ⚠️ 这里的 "Lab" 是 Uni-Lab 平台的 auth scheme绝对不能用 "Basic" 替代
```
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
|-------------|------|
| `test` | `https://uni-lab.test.bohrium.com` |
| `uat` | `https://uni-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://uni-lab.bohrium.com` |
| `--addr` | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
# ⚠️ Auth scheme 必须是 "Lab"Uni-Lab 专用),不是 "Basic"
AUTH="Authorization: Lab <上面命令输出的 token>"
```
@@ -44,22 +49,23 @@ AUTH="Authorization: Lab <上面命令输出的 token>"
**批量提交实验时需要本地注册表来解析 workflow 节点的参数 schema。**
按优先级搜索
**必须先用 Glob 工具搜索文件**,不要直接猜测路径
```
<workspace 根目录>/unilabos_data/req_device_registry_upload.json
<workspace 根目录>/req_device_registry_upload.json
Glob: **/req_device_registry_upload.json
```
也可直接 Glob 搜索:`**/req_device_registry_upload.json`
常见位置(仅供参考,以 Glob 实际结果为准):
- `<workspace>/unilabos_data/req_device_registry_upload.json`
- `<workspace>/req_device_registry_upload.json`
找到后**检查文件修改时间**并告知用户。超过 1 天提醒用户是否需要重新启动 `unilab`
**如果文件不存在** → 告知用户先运行 `unilab` 启动命令,等注册表生成后再执行。可跳过此步,但将无法自动生成参数模板,需要用户手动填写 `param`
**如果 Glob 搜索无结果** → 告知用户先运行 `unilab` 启动命令,等注册表生成后再执行。可跳过此步,但将无法自动生成参数模板,需要用户手动填写 `param`
### 4. workflow_uuid目标工作流
用户需要提供要提交的 workflow UUID。如果用户不确定通过 API #2 列出可用 workflow 供选择。
用户需要提供要提交的 workflow UUID。如果用户不确定通过 API #3 列出可用 workflow 供选择。
**四项全部就绪后才可开始。**
@@ -68,8 +74,9 @@ AUTH="Authorization: Lab <上面命令输出的 token>"
在整个对话过程中agent 需要记住以下状态,避免重复询问用户:
- `lab_uuid` — 实验室 UUID首次通过 API #1 自动获取,**不需要问用户**
- `project_uuid` — 项目 UUID通过 API #2 列出项目列表,**让用户选择**
- `workflow_uuid` — 工作流 UUID用户提供或从列表选择
- `workflow_nodes` — workflow 中各 action 节点的 uuid、设备 ID、动作名从 API #3 获取)
- `workflow_nodes` — workflow 中各 action 节点的 uuid、设备 ID、动作名从 API #4 获取)
## 请求约定
@@ -92,12 +99,46 @@ curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
返回:
```json
{"code": 0, "data": {"uuid": "xxx", "name": "实验室名称"}}
{ "code": 0, "data": { "uuid": "xxx", "name": "实验室名称" } }
```
记住 `data.uuid``lab_uuid`
### 2. 列出可用 workflow
### 2. 列出实验室项目(让用户选择项目)
```bash
curl -s -X GET "$BASE/api/v1/lab/project/list?lab_uuid=$lab_uuid" -H "$AUTH"
```
返回:
```json
{
"code": 0,
"data": {
"items": [
{
"uuid": "1b3f249a-...",
"name": "bt",
"description": null,
"status": "active",
"created_at": "2026-04-09T14:31:28+08:00"
},
{
"uuid": "b6366243-...",
"name": "default",
"description": "默认项目",
"status": "active",
"created_at": "2026-03-26T11:13:36+08:00"
}
]
}
}
```
展示 `data.items[]` 中每个项目的 `name``uuid`,让用户选择。用户**必须**选择一个项目,记住 `project_uuid`(即选中项目的 `uuid`),后续创建 notebook 时需要提供。
### 3. 列出可用 workflow
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid=$lab_uuid" -H "$AUTH"
@@ -105,13 +146,14 @@ curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid
返回 workflow 列表,展示给用户选择。列出每个 workflow 的 `uuid``name`
### 3. 获取 workflow 模板详情
### 4. 获取 workflow 模板详情
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
```
返回 workflow 的完整结构,包含所有 action 节点信息。需要从响应中提取:
- 每个 action 节点的 `node_uuid`
- 每个节点对应的设备 ID`resource_template_name`
- 每个节点的动作名(`node_template_name`
@@ -119,7 +161,7 @@ curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$A
> **注意**:此 API 返回格式可能因版本不同而有差异。首次调用时,先打印完整响应分析结构,再提取节点信息。常见的节点字段路径为 `data.nodes[]` 或 `data.workflow_nodes[]`。
### 4. 提交实验(创建 notebook
### 5. 提交实验(创建 notebook
```bash
curl -s -X POST "$BASE/api/v1/lab/notebook" \
@@ -131,34 +173,45 @@ curl -s -X POST "$BASE/api/v1/lab/notebook" \
```json
{
"lab_uuid": "<lab_uuid>",
"workflow_uuid": "<workflow_uuid>",
"name": "<实验名称>",
"node_params": [
"lab_uuid": "<lab_uuid>",
"project_uuid": "<project_uuid>",
"workflow_uuid": "<workflow_uuid>",
"name": "<实验名称>",
"node_params": [
{
"sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
"datas": [
{
"sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
"datas": [
{
"node_uuid": "<workflow中的节点UUID>",
"param": {},
"sample_params": [
{
"container_uuid": "<容器UUID>",
"sample_value": {
"liquid_names": "<液体名称>",
"volumes": 1000
}
}
]
}
]
"node_uuid": "<workflow中的节点UUID>",
"param": {},
"sample_params": [
{
"container_uuid": "<容器UUID>",
"sample_value": {
"liquid_names": "<液体名称>",
"volumes": 1000
}
}
]
}
]
]
}
]
}
```
> **注意**`sample_uuids` 必须是 **UUID 数组**`[]uuid.UUID`),不是字符串。无样品时传空数组 `[]`。
### 6. 查询 notebook 状态
提交成功后,使用返回的 notebook UUID 查询执行状态:
```bash
curl -s -X GET "$BASE/api/v1/lab/notebook/status?uuid=$notebook_uuid" -H "$AUTH"
```
提交后应**立即查询一次**状态,确认 notebook 已被正确接收并开始调度。
---
## Notebook 请求体详解
@@ -172,25 +225,25 @@ curl -s -X POST "$BASE/api/v1/lab/notebook" \
### 每轮的字段
| 字段 | 类型 | 说明 |
|------|------|------|
| 字段 | 类型 | 说明 |
| -------------- | ------------- | ----------------------------------------- |
| `sample_uuids` | array\<uuid\> | 该轮实验的样品 UUID 数组,无样品时传 `[]` |
| `datas` | array | 该轮中每个 workflow 节点的参数配置 |
| `datas` | array | 该轮中每个 workflow 节点的参数配置 |
### datas 中每个节点
| 字段 | 类型 | 说明 |
|------|------|------|
| `node_uuid` | string | workflow 模板中的节点 UUID从 API #3 获取) |
| `param` | object | 动作参数(根据本地注册表 schema 填写) |
| `sample_params` | array | 样品相关参数(液体名、体积等) |
| 字段 | 类型 | 说明 |
| --------------- | ------ | -------------------------------------------- |
| `node_uuid` | string | workflow 模板中的节点 UUID从 API #4 获取) |
| `param` | object | 动作参数(根据本地注册表 schema 填写) |
| `sample_params` | array | 样品相关参数(液体名、体积等) |
### sample_params 中每条
| 字段 | 类型 | 说明 |
|------|------|------|
| `container_uuid` | string | 容器 UUID |
| `sample_value` | object | 样品值,如 `{"liquid_names": "水", "volumes": 1000}` |
| 字段 | 类型 | 说明 |
| ---------------- | ------ | ---------------------------------------------------- |
| `container_uuid` | string | 容器 UUID |
| `sample_value` | object | 样品值,如 `{"liquid_names": "水", "volumes": 1000}` |
---
@@ -211,6 +264,7 @@ python scripts/gen_notebook_params.py \
> 脚本位于本文档同级目录下的 `scripts/gen_notebook_params.py`。
脚本会:
1. 调用 workflow detail API 获取所有 action 节点
2. 读取本地注册表,为每个节点查找对应的 action schema
3. 生成 `notebook_template.json`,包含:
@@ -222,7 +276,7 @@ python scripts/gen_notebook_params.py \
如果脚本不可用或注册表不存在:
1. 调用 API #3 获取 workflow 详情
1. 调用 API #4 获取 workflow 详情
2. 找到每个 action 节点的 `node_uuid`
3. 在本地注册表中查找对应设备的 `action_value_mappings`
```
@@ -248,8 +302,11 @@ python scripts/gen_notebook_params.py \
"properties": {
"goal": {
"properties": {
"asp_vols": {"type": "array", "items": {"type": "number"}},
"sources": {"type": "array"}
"asp_vols": {
"type": "array",
"items": { "type": "number" }
},
"sources": { "type": "array" }
},
"required": ["asp_vols", "sources"]
}
@@ -275,13 +332,15 @@ Task Progress:
- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
- [ ] Step 2: 确认 --addr → 设置 BASE URL
- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid
- [ ] Step 4: 确认 workflow_uuid用户提供或从 GET #2 列表选择)
- [ ] Step 5: GET workflow detail (#3) → 提取各节点 uuid、设备ID、动作名
- [ ] Step 6: 定位本地注册表 req_device_registry_upload.json
- [ ] Step 7: 运行 gen_notebook_params.py 或手动匹配 → 生成 node_params 模板
- [ ] Step 8: 引导用户填写每轮的参数sample_uuids、param、sample_params
- [ ] Step 9: 构建完整请求体 → POST /lab/notebook 提交
- [ ] Step 10: 检查返回结果,确认提交成功
- [ ] Step 4: GET /lab/project/list → 列出项目,让用户选择 → 获取 project_uuid
- [ ] Step 5: 确认 workflow_uuid用户提供或从 GET #3 列表选择)
- [ ] Step 6: GET workflow detail (#4) → 提取各节点 uuid、设备ID、动作名
- [ ] Step 7: 定位本地注册表 req_device_registry_upload.json
- [ ] Step 8: 运行 gen_notebook_params.py 或手动匹配 → 生成 node_params 模板
- [ ] Step 9: 引导用户填写每轮的参数sample_uuids、param、sample_params
- [ ] Step 10: 构建完整请求体(含 project_uuid→ POST /lab/notebook 提交
- [ ] Step 11: 检查返回结果,记录 notebook UUID
- [ ] Step 12: GET /lab/notebook/status → 查询 notebook 状态,确认已调度
```
---

View File

@@ -7,7 +7,7 @@
选项:
--auth <token> Lab tokenbase64(ak:sk) 的结果,不含 "Lab " 前缀)
--base <url> API 基础 URL如 https://uni-lab.test.bohrium.com
--base <url> API 基础 URL如 https://leap-lab.test.bohrium.com
--workflow-uuid <uuid> 目标 workflow 的 UUID
--registry <path> 本地注册表文件路径(默认自动搜索)
--rounds <n> 实验轮次数(默认 1
@@ -17,7 +17,7 @@
示例:
python gen_notebook_params.py \\
--auth YTFmZDlkNGUtxxxx \\
--base https://uni-lab.test.bohrium.com \\
--base https://leap-lab.test.bohrium.com \\
--workflow-uuid abc-123-def \\
--rounds 2
"""
@@ -265,6 +265,7 @@ def generate_template(nodes, registry_index, rounds):
return {
"lab_uuid": "$TODO_LAB_UUID",
"project_uuid": "$TODO_PROJECT_UUID",
"workflow_uuid": "$TODO_WORKFLOW_UUID",
"name": "$TODO_EXPERIMENT_NAME",
"node_params": node_params,

View File

@@ -40,13 +40,13 @@ python ./scripts/gen_auth.py --config <config.py>
决定 API 请求发往哪个服务器。从启动命令的 `--addr` 参数获取:
| `--addr` 值 | BASE URL |
|-------------|----------|
| `test` | `https://uni-lab.test.bohrium.com` |
| `uat` | `https://uni-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://uni-lab.bohrium.com` |
| 其他自定义 URL | 直接使用该 URL |
| `--addr` | BASE URL |
| -------------- | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
| 其他自定义 URL | 直接使用该 URL |
#### 必备项 ③req_device_registry_upload.json设备注册表
@@ -54,11 +54,11 @@ python ./scripts/gen_auth.py --config <config.py>
**推断 working_dir**(即 `unilabos_data` 所在目录):
| 条件 | working_dir 取值 |
|------|------------------|
| 条件 | working_dir 取值 |
| -------------------- | -------------------------------------------------------- |
| 传了 `--working_dir` | `<working_dir>/unilabos_data/`(若子目录已存在则直接用) |
| 仅传了 `--config` | `<config 文件所在目录>/unilabos_data/` |
| 都没传 | `<当前工作目录>/unilabos_data/` |
| 仅传了 `--config` | `<config 文件所在目录>/unilabos_data/` |
| 都没传 | `<当前工作目录>/unilabos_data/` |
**按优先级搜索文件**
@@ -84,24 +84,6 @@ python ./scripts/gen_auth.py --config <config.py>
python ./scripts/extract_device_actions.py --registry <找到的文件路径>
```
#### 完整示例
用户提供:
```
--ak a1fd9d4e-xxxx-xxxx-xxxx-d9a69c09f0fd
--sk 136ff5c6-xxxx-xxxx-xxxx-a03e301f827b
--addr test
--port 8003
--disable_browser
```
从中提取:
- ✅ ak/sk → 运行 `gen_auth.py` 得到 `AUTH="Authorization: Lab YTFmZDlk..."`
- ✅ addr=test → `BASE=https://uni-lab.test.bohrium.com`
- ✅ 搜索 `unilabos_data/req_device_registry_upload.json` → 找到并确认时间
- ✅ 用户指明目标设备 → 如 `liquid_handler.prcxi`
**四项全部就绪后才进入 Step 1。**
### Step 1 — 列出可用设备
@@ -129,6 +111,7 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
脚本会显示设备的 Python 源码路径和类名,方便阅读源码了解参数含义。
每个 action 生成一个 JSON 文件,包含:
- `type` — 作为 API 调用的 `action_type`
- `schema` — 完整 JSON Schema`properties.goal.properties` 参数定义)
- `goal` — goal 字段映射(含占位符 `$placeholder`
@@ -136,13 +119,14 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
### Step 3 — 写 action-index.md
按模板为每个 action 写条目:
按模板为每个 action 写条目**必须包含 `action_type`**
```markdown
### `<action_name>`
<用途描述(一句话)>
- **action_type**: `<从 actions/<name>.json 的 type 字段获取>`
- **Schema**: [`actions/<filename>.json`](actions/<filename>.json)
- **核心参数**: `param1`, `param2`(从 schema.required 获取)
- **可选参数**: `param3`, `param4`
@@ -150,6 +134,8 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
```
描述规则:
- **每个 action 必须标注 `action_type`**(从 JSON 的 `type` 字段读取),这是 API #9 调用时的必填参数,传错会导致任务永远卡住
-`schema.properties` 读参数列表schema 已提升为 goal 内容)
-`schema.required` 区分核心/可选参数
- 按功能分类(移液、枪头、外设等)
@@ -158,12 +144,14 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
- `unilabos_devices`**DeviceSlot**,填入路径字符串如 `"/host_node"`(从资源树筛选 type=device
- `unilabos_nodes`**NodeSlot**,填入路径字符串如 `"/PRCXI/PRCXI_Deck"`(资源树中任意节点)
- `unilabos_class`**ClassSlot**,填入类名字符串如 `"container"`(从注册表查找)
- `unilabos_formulation`**FormulationSlot**,填入配方数组 `[{well_name, liquids: [{name, volume}]}]`well_name 为目标物料的 name
- array 类型字段 → `[{id, name, uuid}, ...]`
- 特殊:`create_resource``res_id`ResourceSlot可填不存在的路径
### Step 4 — 写 SKILL.md
直接复用 `unilab-device-api` 的 API 模板10 个 endpoint,修改:
直接复用 `unilab-device-api` 的 API 模板,修改:
- 设备名称
- Action 数量
- 目录列表
@@ -171,43 +159,96 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
- **AUTH 头** — 使用 Step 0 中 `gen_auth.py` 生成的 `Authorization: Lab <token>`(不要硬编码 `Api` 类型的 key
- **Python 源码路径** — 在 SKILL.md 开头注明设备对应的源码文件,方便参考参数含义
- **Slot 字段表** — 列出本设备哪些 action 的哪些字段需要填入 Slot物料/设备/节点/类名)
- **action_type 速查表** — 在 API #9 说明后面紧跟一个表格,列出每个 action 对应的 `action_type` 值(从 JSON `type` 字段提取),方便 agent 快速查找而无需打开 JSON 文件
API 模板结构:
```markdown
## 设备信息
- device_id, Python 源码路径, 设备类名
## 前置条件(缺一不可)
- ak/sk → AUTH, --addr → BASE URL
## Session State
- lab_uuid通过 API #1 自动匹配,不要问用户), device_name
## 请求约定
## API Endpoints (10 个)
# 注意:
# - #1 获取 lab 列表 + 自动匹配 lab_uuid遍历 is_admin 的 lab
# 调用 /lab/info/{uuid} 比对 access_key == ak
# - #2 创建工作流用 POST /lab/workflow
# - #10 获取资源树路径含 lab_uuid: /lab/material/download/{lab_uuid}
- Windows 平台必须用 curl.exe非 PowerShell 的 curl 别名)
## Session State
- lab_uuid通过 GET /edge/lab/info 直接获取,不要问用户), device_name
## API Endpoints
# - #1 GET /edge/lab/info → 直接拿到 lab_uuid
# - #2 创建工作流 POST /lab/workflow/owner → 拼 URL 告知用户
# - #3 创建节点 POST /edge/workflow/node
# body: {workflow_uuid, resource_template_name: "<device_id>", node_template_name: "<action_name>"}
# - #4 删除节点 DELETE /lab/workflow/nodes
# - #5 更新节点参数 PATCH /lab/workflow/node
# - #6 查询节点 handles POST /lab/workflow/node-handles
# body: {node_uuids: ["uuid1","uuid2"]} → 返回各节点的 handle_uuid
# - #7 批量创建边 POST /lab/workflow/edges
# body: {edges: [{source_node_uuid, target_node_uuid, source_handle_uuid, target_handle_uuid}]}
# - #8 启动工作流 POST /lab/workflow/{uuid}/run
# - #9 运行设备单动作 POST /lab/mcp/run/action action_type 必须从 action-index.md 或 actions/<name>.json 的 type 字段获取,传错会导致任务永远卡住)
# - #10 查询任务状态 GET /lab/mcp/task/{task_uuid}
# - #11 运行工作流单节点 POST /lab/mcp/run/workflow/action
# - #12 获取资源树 GET /lab/material/download/{lab_uuid}
# - #13 获取工作流模板详情 GET /lab/workflow/template/detail/{workflow_uuid}
# 返回 workflow 完整结构data.nodes[] 含每个节点的 uuid、name、param、device_name、handles
# - #14 按名称查询物料模板 GET /lab/material/template/by-name?lab_uuid=&name=
# 返回 res_template_uuid用于 #15 创建物料时的必填字段
# - #15 创建物料节点 POST /edge/material/node
# body: {res_template_uuid(从#14获取), name(自定义), display_name, parent_uuid?(从#12获取), ...}
# - #16 更新物料节点 PUT /edge/material/node
# body: {uuid(从#12获取), display_name?, description?, init_param_data?, data?, ...}
## Placeholder Slot 填写规则
- unilabos_resources → ResourceSlot → {"id":"/path/name","name":"name","uuid":"xxx"}
- unilabos_devices → DeviceSlot → "/parent/device" 路径字符串
- unilabos_nodes → NodeSlot → "/parent/node" 路径字符串
- unilabos_class → ClassSlot → "class_name" 字符串
- unilabos_formulation → FormulationSlot → [{well_name, liquids: [{name, volume}]}] 配方数组
- 特例create_resource 的 res_id 允许填不存在的路径
- 列出本设备所有 Slot 字段、类型及含义
## 渐进加载策略
## 完整工作流 Checklist
```
### Step 5 — 验证
检查文件完整性:
- [ ] `SKILL.md` 包含 10 个 API endpoint
- [ ] `SKILL.md` 包含 Placeholder Slot 填写规则ResourceSlot / DeviceSlot / NodeSlot / ClassSlot + create_resource 特例)和本设备的 Slot 字段表
- [ ] `SKILL.md` 包含 API endpoint#1 获取 lab_uuid、#2-#7 工作流/节点/边、#8-#11 运行/查询、#12 资源树、#13 工作流模板详情、#14-#16 物料管理)
- [ ] `SKILL.md` 包含 Placeholder Slot 填写规则ResourceSlot / DeviceSlot / NodeSlot / ClassSlot / FormulationSlot + create_resource 特例)和本设备的 Slot 字段表
- [ ] `action-index.md` 列出所有 action 并有描述
- [ ] `actions/` 目录中每个 action 有对应 JSON 文件
- [ ] JSON 文件包含 `type`, `schema`(已提升为 goal 内容), `goal`, `goal_default`, `placeholder_keys` 字段
@@ -249,71 +290,202 @@ API 模板结构:
```
> **注意**`schema` 已由脚本从原始 `schema.properties.goal` 提升为顶层,直接包含参数定义。
> `schema.properties` 中的字段即为 API 请求 `param.goal` 中的字段
> `schema.properties` 中的字段即为 API 创建节点返回的 `data.param` 中的字段PATCH 更新时直接修改 `param` 即可
## Placeholder Slot 类型体系
`placeholder_keys` / `_unilabos_placeholder_info` 中有 4 种值,对应不同的填写方式:
`placeholder_keys` / `_unilabos_placeholder_info` 中有 5 种值,对应不同的填写方式:
| placeholder 值 | Slot 类型 | 填写格式 | 选取范围 |
|---------------|-----------|---------|---------|
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅**物料**节点(不含设备) |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅**设备**节点type=device路径字符串 |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | **设备 + 物料**,即所有节点,路径字符串 |
| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已上报的资源类 name |
| placeholder 值 | Slot 类型 | 填写格式 | 选取范围 |
| ---------------------- | --------------- | ----------------------------------------------------- | ----------------------------------------- |
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅**物料**节点(不含设备) |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅**设备**节点type=device路径字符串 |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | **设备 + 物料**,即所有节点,路径字符串 |
| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已上报的资源类 name |
| `unilabos_formulation` | FormulationSlot | `[{well_name, liquids: [{name, volume}]}]` | 资源树中物料节点的 **name**,配合液体配方 |
### ResourceSlot`unilabos_resources`
最常见的类型。从资源树中选取**物料**节点(孔板、枪头盒、试剂槽等):
- 单个:`{"id": "/workstation/container1", "name": "container1", "uuid": "ff149a9a-..."}`
- 数组:`[{"id": "/path/a", "name": "a", "uuid": "xxx"}, ...]`
- `id` 从 parent 计算的路径格式,根据 action 语义选择正确的物料
> **特例**`create_resource` 的 `res_id`,目标物料可能尚不存在,直接填期望路径,不需要 uuid。
### DeviceSlot / NodeSlot / ClassSlot
- **DeviceSlot**`unilabos_devices`):路径字符串如 `"/host_node"`,仅 type=device 的节点
- **NodeSlot**`unilabos_nodes`):路径字符串如 `"/PRCXI/PRCXI_Deck"`,设备 + 物料均可选
- **ClassSlot**`unilabos_class`):类名字符串如 `"container"`,从 `req_resource_registry_upload.json` 查找
### FormulationSlot`unilabos_formulation`
描述**液体配方**:向哪些容器中加入哪些液体及体积。
```json
{"id": "/workstation/container1", "name": "container1", "uuid": "ff149a9a-2cb8-419d-8db5-d3ba056fb3c2"}
[
{
"sample_uuid": "",
"well_name": "bottle_A1",
"liquids": [{ "name": "LiPF6", "volume": 0.6 }]
}
]
```
- 单个schema type=object`{"id": "/path/name", "name": "name", "uuid": "xxx"}`
- 数组schema type=array`[{"id": "/path/a", "name": "a", "uuid": "xxx"}, ...]`
- `id` 本身是从 parent 计算的路径格式
- 根据 action 语义选择正确的物料(如 `sources` = 液体来源,`targets` = 目标位置)
- `well_name` — 目标物料的 **name**(从资源树取,不是 `id` 路径)
- `liquids[]` — 液体列表,每条含 `name`(试剂名)和 `volume`体积单位由上下文决定pylabrobot 内部统一 uL
- `sample_uuid` — 样品 UUID无样品传 `""`
- 与 ResourceSlot 的区别ResourceSlot 指向物料本身FormulationSlot 引用物料名并附带配方信息
> **特例**`create_resource` 的 `res_id` 字段,目标物料可能**尚不存在**,此时直接填写期望的路径(如 `"/workstation/container1"`),不需要 uuid。
### DeviceSlot`unilabos_devices`
填写**设备路径字符串**。从资源树中筛选 type=device 的节点,从 parent 计算路径:
```
"/host_node"
"/bioyond_cell/reaction_station"
```
- 只填路径字符串,不需要 `{id, uuid}` 对象
- 根据 action 语义选择正确的设备(如 `target_device_id` = 目标设备)
### NodeSlot`unilabos_nodes`
范围 = 设备 + 物料。即资源树中**所有节点**都可以选,填写**路径字符串**
```
"/PRCXI/PRCXI_Deck"
```
- 使用场景:当参数既可能指向物料也可能指向设备时(如 `PumpTransferProtocol``from_vessel`/`to_vessel``create_resource``parent`
### ClassSlot`unilabos_class`
填写注册表中已上报的**资源类 name**。从本地 `req_resource_registry_upload.json` 中查找:
```
"container"
```
### 通过 API #10 获取资源树
### 通过 API #12 获取资源树
```bash
curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
```
注意 `lab_uuid` 在路径中(不是查询参数)。资源树返回所有节点,每个节点包含 `id`(路径格式)、`name``uuid``type``parent` 等字段。填写 Slot 时需根据 placeholder 类型筛选正确的节点。
注意 `lab_uuid` 在路径中(不是查询参数)。返回结构:
```json
{
"code": 0,
"data": {
"nodes": [
{"name": "host_node", "uuid": "c3ec1e68-...", "type": "device", "parent": ""},
{"name": "PRCXI", "uuid": "e249c9a6-...", "type": "device", "parent": ""},
{"name": "PRCXI_Deck", "uuid": "fb6a8b71-...", "type": "deck", "parent": "PRCXI"}
],
"edges": [...]
}
}
```
- `data.nodes[]` — 所有节点(设备 + 物料),每个节点含 `name``uuid``type``parent`
- `type` 区分设备(`device`)和物料(`deck``container``resource` 等)
- `parent` 为父节点名称(空字符串表示顶级)
- 填写 Slot 时根据 placeholder 类型筛选ResourceSlot 取非 device 节点DeviceSlot 取 device 节点
- 创建/更新物料时:`parent_uuid` 取父节点的 `uuid`,更新目标的 `uuid` 取节点自身的 `uuid`
## 物料管理 API
设备 Skill 除了设备动作外,还需支持物料节点的创建和参数设定,用于在资源树中动态管理物料。
典型流程:先通过 **#14 按名称查询模板** 获取 `res_template_uuid` → 再通过 **#15 创建物料** → 之后可通过 **#16 更新物料** 修改属性。更新时需要的 `uuid``parent_uuid` 均从 **#12 资源树下载** 获取。
### API #14 — 按名称查询物料模板
创建物料前,需要先获取物料模板的 UUID。通过模板名称查询
```bash
curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
```
| 参数 | 必填 | 说明 |
| ---------- | ------ | -------------------------------- |
| `lab_uuid` | **是** | 实验室 UUID从 API #1 获取) |
| `name` | **是** | 物料模板名称(如 `"container"` |
返回 `code: 0` 时,**`data.uuid`** 即为 `res_template_uuid`,用于 API #15 创建物料。返回还包含 `name``resource_type``handles``config_infos` 等模板元信息。
模板不存在时返回 `code: 10002``data` 为空对象。模板名称来自资源注册表中已注册的资源类型。
### API #15 — 创建物料节点
```bash
curl -s -X POST "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '<request_body>'
```
请求体:
```json
{
"res_template_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"name": "my_custom_bottle",
"display_name": "自定义瓶子",
"parent_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"type": "",
"init_param_data": {},
"schema": {},
"data": {
"liquids": [["water", 1000, "uL"]],
"max_volume": 50000
},
"plate_well_datas": {},
"plate_reagent_datas": {},
"pose": {},
"model": {}
}
```
| 字段 | 必填 | 类型 | 数据来源 | 说明 |
| --------------------- | ------ | ------------- | ----------------------------------- | -------------------------------------- |
| `res_template_uuid` | **是** | string (UUID) | **API #14** 按名称查询获取 | 物料模板 UUID |
| `name` | 否 | string | **用户自定义** | 节点名称(标识符),可自由命名 |
| `display_name` | 否 | string | 用户自定义 | 显示名称UI 展示用) |
| `parent_uuid` | 否 | string (UUID) | **API #12** 资源树中父节点的 `uuid` | 父节点,为空则创建顶级节点 |
| `type` | 否 | string | 从模板继承 | 节点类型 |
| `init_param_data` | 否 | object | 用户指定 | 初始化参数,覆盖模板默认值 |
| `data` | 否 | object | 用户指定 | 节点数据container 见下方 data 格式 |
| `plate_well_datas` | 否 | object | 用户指定 | 孔板子节点数据(创建带孔位的板时使用) |
| `plate_reagent_datas` | 否 | object | 用户指定 | 试剂关联数据 |
| `schema` | 否 | object | 从模板继承 | 自定义 schema不传则从模板继承 |
| `pose` | 否 | object | 用户指定 | 位姿信息 |
| `model` | 否 | object | 用户指定 | 3D 模型信息 |
#### container 的 `data` 格式
> **体积单位统一为 uL微升**。pylabrobot 体系中所有体积值(`max_volume`、`liquids` 中的 volume均为 uL。外部如果是 mL 需乘 1000 转换。
```json
{
"liquids": [["water", 1000, "uL"], ["ethanol", 500, "uL"]],
"max_volume": 50000
}
```
- `liquids` — 液体列表,每条为 `[液体名称, 体积(uL), 单位字符串]`
- `max_volume` — 容器最大容量uL如 50 mL = 50000 uL
### API #16 — 更新物料节点
```bash
curl -s -X PUT "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '<request_body>'
```
请求体:
```json
{
"uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"parent_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"display_name": "新显示名称",
"description": "新描述",
"init_param_data": {},
"data": {},
"pose": {},
"schema": {},
"extra": {}
}
```
| 字段 | 必填 | 类型 | 数据来源 | 说明 |
| ----------------- | ------ | ------------- | ------------------------------------- | ---------------- |
| `uuid` | **是** | string (UUID) | **API #12** 资源树中目标节点的 `uuid` | 要更新的物料节点 |
| `parent_uuid` | 否 | string (UUID) | API #12 资源树 | 移动到新父节点 |
| `display_name` | 否 | string | 用户指定 | 更新显示名称 |
| `description` | 否 | string | 用户指定 | 更新描述 |
| `init_param_data` | 否 | object | 用户指定 | 更新初始化参数 |
| `data` | 否 | object | 用户指定 | 更新节点数据 |
| `pose` | 否 | object | 用户指定 | 更新位姿 |
| `schema` | 否 | object | 用户指定 | 更新 schema |
| `extra` | 否 | object | 用户指定 | 更新扩展数据 |
> 只传需要更新的字段,未传的字段保持不变。
## 最终目录结构

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---
name: host-node
description: Operate Uni-Lab host node via REST API — create resources, test latency, test resource tree, manual confirm. Use when the user mentions host_node, creating resources, resource management, testing latency, or any host node operation.
---
# Host Node API Skill
## 设备信息
- **device_id**: `host_node`
- **Python 源码**: `unilabos/ros/nodes/presets/host_node.py`
- **设备类**: `HostNode`
- **动作数**: 4`create_resource`, `test_latency`, `auto-test_resource`, `manual_confirm`
## 前置条件(缺一不可)
使用本 skill 前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
### 1. ak / sk → AUTH
从启动参数 `--ak` `--sk` 或 config.py 中获取,生成 token`base64(ak:sk)``Authorization: Lab <token>`
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
AUTH="Authorization: Lab <token>"
```
**两项全部就绪后才可发起 API 请求。**
## Session State
在整个对话过程中agent 需要记住以下状态,避免重复询问用户:
- `lab_uuid` — 实验室 UUID首次通过 API #1 自动获取,**不需要问用户**
- `device_name``host_node`
## 请求约定
所有请求使用 `curl -s`POST/PATCH/DELETE 需加 `Content-Type: application/json`
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名)。
---
## API Endpoints
### 1. 获取实验室信息(自动获取 lab_uuid
```bash
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
```
返回 `data.uuid``lab_uuid``data.name``lab_name`
### 2. 创建工作流
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/owner" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"name":"<名称>","lab_uuid":"<lab_uuid>","description":"<描述>"}'
```
返回 `data.uuid``workflow_uuid`。创建成功后告知用户链接:`$BASE/laboratory/$lab_uuid/workflow/$workflow_uuid`
### 3. 创建节点
```bash
curl -s -X POST "$BASE/api/v1/edge/workflow/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"workflow_uuid":"<workflow_uuid>","resource_template_name":"host_node","node_template_name":"<action_name>"}'
```
- `resource_template_name` 固定为 `host_node`
- `node_template_name` — action 名称(如 `create_resource`, `test_latency`
### 4. 删除节点
```bash
curl -s -X DELETE "$BASE/api/v1/lab/workflow/nodes" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuids":["<uuid1>"],"workflow_uuid":"<workflow_uuid>"}'
```
### 5. 更新节点参数
```bash
curl -s -X PATCH "$BASE/api/v1/lab/workflow/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"workflow_uuid":"<wf_uuid>","uuid":"<node_uuid>","param":{...}}'
```
`param` 直接使用创建节点返回的 `data.param` 结构,修改需要填入的字段值。参考 [action-index.md](action-index.md) 确定哪些字段是 Slot。
### 6. 查询节点 handles
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/node-handles" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuids":["<node_uuid_1>","<node_uuid_2>"]}'
```
### 7. 批量创建边
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/edges" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"edges":[{"source_node_uuid":"<uuid>","target_node_uuid":"<uuid>","source_handle_uuid":"<uuid>","target_handle_uuid":"<uuid>"}]}'
```
### 8. 启动工作流
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/<workflow_uuid>/run" -H "$AUTH"
```
### 9. 运行设备单动作
```bash
curl -s -X POST "$BASE/api/v1/lab/mcp/run/action" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"lab_uuid":"<lab_uuid>","device_id":"host_node","action":"<action_name>","action_type":"<type>","param":{...}}'
```
`param` 直接放 goal 里的属性,**不要**再包一层 `{"goal": {...}}`
> **WARNING: `action_type` 必须正确,传错会导致任务永远卡住无法完成。** 从下表或 `actions/<name>.json` 的 `type` 字段获取。
#### action_type 速查表
| action | action_type |
|--------|-------------|
| `test_latency` | `UniLabJsonCommand` |
| `create_resource` | `ResourceCreateFromOuterEasy` |
| `auto-test_resource` | `UniLabJsonCommand` |
| `manual_confirm` | `UniLabJsonCommand` |
### 10. 查询任务状态
```bash
curl -s -X GET "$BASE/api/v1/lab/mcp/task/<task_uuid>" -H "$AUTH"
```
### 11. 运行工作流单节点
```bash
curl -s -X POST "$BASE/api/v1/lab/mcp/run/workflow/action" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuid":"<node_uuid>"}'
```
### 12. 获取资源树(物料信息)
```bash
curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
```
注意 `lab_uuid` 在路径中。返回 `data.nodes[]` 含所有节点(设备 + 物料),每个节点含 `name``uuid``type``parent`
### 13. 获取工作流模板详情
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
```
> 必须使用 `/lab/workflow/template/detail/{uuid}`,其他路径会返回 404。
### 14. 按名称查询物料模板
```bash
curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
```
返回 `data.uuid``res_template_uuid`,用于 API #15
### 15. 创建物料节点
```bash
curl -s -X POST "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"res_template_uuid":"<uuid>","name":"<名称>","display_name":"<显示名>","parent_uuid":"<父节点uuid>","data":{...}}'
```
### 16. 更新物料节点
```bash
curl -s -X PUT "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"uuid":"<节点uuid>","display_name":"<新名称>","data":{...}}'
```
---
## Placeholder Slot 填写规则
| `placeholder_keys` 值 | Slot 类型 | 填写格式 | 选取范围 |
| --------------------- | ------------ | ----------------------------------------------------- | ---------------------- |
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅物料节点(非设备) |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅设备节点type=device |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | 所有节点(设备 + 物料) |
| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已注册的资源类 |
### host_node 设备的 Slot 字段表
| Action | 字段 | Slot 类型 | 说明 |
| ----------------- | ----------- | ------------ | ------------------------------ |
| `create_resource` | `res_id` | ResourceSlot | 新资源路径(可填不存在的路径) |
| `create_resource` | `device_id` | DeviceSlot | 归属设备 |
| `create_resource` | `parent` | NodeSlot | 父节点路径 |
| `create_resource` | `class_name`| ClassSlot | 资源类名如 `"container"` |
| `auto-test_resource` | `resource` | ResourceSlot | 单个测试物料 |
| `auto-test_resource` | `resources` | ResourceSlot | 测试物料数组 |
| `auto-test_resource` | `device` | DeviceSlot | 测试设备 |
| `auto-test_resource` | `devices` | DeviceSlot | 测试设备 |
---
## 渐进加载策略
1. **SKILL.md**(本文件)— API 端点 + session state 管理
2. **[action-index.md](action-index.md)** — 按分类浏览 4 个动作的描述和核心参数
3. **[actions/\<name\>.json](actions/)** — 仅在需要构建具体请求时,加载对应 action 的完整 JSON Schema
---
## 完整工作流 Checklist
```
Task Progress:
- [ ] Step 1: GET /edge/lab/info 获取 lab_uuid
- [ ] Step 2: 获取资源树 (GET #12) → 记住可用物料
- [ ] Step 3: 读 action-index.md 确定要用的 action 名
- [ ] Step 4: 创建工作流 (POST #2) → 记住 workflow_uuid告知用户链接
- [ ] Step 5: 创建节点 (POST #3, resource_template_name=host_node) → 记住 node_uuid + data.param
- [ ] Step 6: 根据 _unilabos_placeholder_info 和资源树,填写 data.param 中的 Slot 字段
- [ ] Step 7: 更新节点参数 (PATCH #5)
- [ ] Step 8: 查询节点 handles (POST #6) → 获取各节点的 handle_uuid
- [ ] Step 9: 批量创建边 (POST #7) → 用 handle_uuid 连接节点
- [ ] Step 10: 启动工作流 (POST #8) 或运行单节点 (POST #11)
- [ ] Step 11: 查询任务状态 (GET #10) 确认完成
```

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# Action Index — host_node
4 个动作,按功能分类。每个动作的完整 JSON Schema 在 `actions/<name>.json`
---
## 资源管理
### `create_resource`
在资源树中创建新资源(容器、物料等),支持指定位置、类型和初始液体
- **action_type**: `ResourceCreateFromOuterEasy`
- **Schema**: [`actions/create_resource.json`](actions/create_resource.json)
- **可选参数**: `res_id`, `device_id`, `class_name`, `parent`, `bind_locations`, `liquid_input_slot`, `liquid_type`, `liquid_volume`, `slot_on_deck`
- **占位符字段**:
- `res_id`**ResourceSlot**(特例:目标物料可能尚不存在,直接填期望路径)
- `device_id`**DeviceSlot**,填路径字符串如 `"/host_node"`
- `parent`**NodeSlot**,填路径字符串如 `"/workstation/deck"`
- `class_name`**ClassSlot**,填类名如 `"container"`
### `auto-test_resource`
测试资源系统,返回当前资源树和设备列表
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/test_resource.json`](actions/test_resource.json)
- **可选参数**: `resource`, `resources`, `device`, `devices`
- **占位符字段**:
- `resource`**ResourceSlot**,单个物料节点 `{id, name, uuid}`
- `resources`**ResourceSlot**,物料节点数组 `[{id, name, uuid}, ...]`
- `device`**DeviceSlot**,设备路径字符串
- `devices`**DeviceSlot**,设备路径字符串
---
## 系统工具
### `test_latency`
测试设备通信延迟,返回 RTT、时间差、任务延迟等指标
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/test_latency.json`](actions/test_latency.json)
- **参数**: 无(零参数调用)
---
## 人工确认
### `manual_confirm`
创建人工确认节点,等待用户手动确认后继续
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/manual_confirm.json`](actions/manual_confirm.json)
- **核心参数**: `timeout_seconds`(超时时间,秒), `assignee_user_ids`(指派用户 ID 列表)
- **占位符字段**: `assignee_user_ids``unilabos_manual_confirm` 类型

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{
"type": "ResourceCreateFromOuterEasy",
"goal": {
"res_id": "res_id",
"class_name": "class_name",
"parent": "parent",
"device_id": "device_id",
"bind_locations": "bind_locations",
"liquid_input_slot": "liquid_input_slot[]",
"liquid_type": "liquid_type[]",
"liquid_volume": "liquid_volume[]",
"slot_on_deck": "slot_on_deck"
},
"schema": {
"type": "object",
"properties": {
"res_id": {
"type": "string"
},
"device_id": {
"type": "string"
},
"class_name": {
"type": "string"
},
"parent": {
"type": "string"
},
"bind_locations": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "bind_locations",
"additionalProperties": false
},
"liquid_input_slot": {
"type": "array",
"items": {
"type": "integer"
}
},
"liquid_type": {
"type": "array",
"items": {
"type": "string"
}
},
"liquid_volume": {
"type": "array",
"items": {
"type": "number"
}
},
"slot_on_deck": {
"type": "string"
}
},
"required": [],
"_unilabos_placeholder_info": {
"res_id": "unilabos_resources",
"device_id": "unilabos_devices",
"parent": "unilabos_nodes",
"class_name": "unilabos_class"
}
},
"goal_default": {},
"placeholder_keys": {
"res_id": "unilabos_resources",
"device_id": "unilabos_devices",
"parent": "unilabos_nodes",
"class_name": "unilabos_class"
}
}

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{
"type": "UniLabJsonCommand",
"goal": {
"timeout_seconds": "timeout_seconds",
"assignee_user_ids": "assignee_user_ids"
},
"schema": {
"type": "object",
"properties": {
"timeout_seconds": {
"type": "integer"
},
"assignee_user_ids": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"timeout_seconds",
"assignee_user_ids"
],
"_unilabos_placeholder_info": {
"assignee_user_ids": "unilabos_manual_confirm"
}
},
"goal_default": {},
"placeholder_keys": {
"assignee_user_ids": "unilabos_manual_confirm"
}
}

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{
"type": "UniLabJsonCommand",
"goal": {},
"schema": {
"type": "object",
"properties": {},
"required": []
},
"goal_default": {},
"placeholder_keys": {}
}

View File

@@ -0,0 +1,255 @@
{
"type": "UniLabJsonCommand",
"goal": {
"resource": "resource",
"resources": "resources",
"device": "device",
"devices": "devices"
},
"schema": {
"type": "object",
"properties": {
"resource": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "resource"
},
"resources": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "resources"
},
"type": "array"
},
"device": {
"type": "string",
"description": "device reference"
},
"devices": {
"type": "string",
"description": "device reference"
}
},
"required": [],
"_unilabos_placeholder_info": {
"resource": "unilabos_resources",
"resources": "unilabos_resources",
"device": "unilabos_devices",
"devices": "unilabos_devices"
}
},
"goal_default": {},
"placeholder_keys": {
"resource": "unilabos_resources",
"resources": "unilabos_resources",
"device": "unilabos_devices",
"devices": "unilabos_devices"
}
}

View File

@@ -0,0 +1,284 @@
---
name: submit-agent-result
description: Submit historical experiment results (agent_result) to Uni-Lab cloud platform (leap-lab) notebook — read data files, assemble JSON payload, PUT to cloud API. Use when the user wants to submit experiment results, upload agent results, report experiment data, or mentions agent_result/实验结果/历史记录/notebook结果.
---
# Uni-Lab 提交历史实验记录指南
通过 Uni-Lab 云端 API 向已创建的 notebook 提交实验结果数据agent_result。支持从 JSON / CSV 文件读取数据,整合后提交。
> **重要**:本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**`Lab` 是 Uni-Lab 的 auth scheme 关键字,**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
## 前置条件(缺一不可)
使用本指南前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
### 1. ak / sk → AUTH
询问用户的启动参数,从 `--ak` `--sk` 或 config.py 中获取。
生成 AUTH token
```bash
# ⚠️ 注意scheme 是 "Lab"Uni-Lab 专用),不是 "Basic"
python -c "import base64,sys; print(base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
```
输出即为 token 值,拼接为 `Authorization: Lab <token>``Lab` 是 Uni-Lab 平台 auth scheme不可替换为 `Basic`)。
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
# ⚠️ Auth scheme 必须是 "Lab"Uni-Lab 专用),不是 "Basic"
AUTH="Authorization: Lab <上面命令输出的 token>"
```
### 3. notebook_uuid**必须询问用户**
**必须主动询问用户**:「请提供要提交结果的 notebook UUID。」
notebook_uuid 来自之前通过「批量提交实验」创建的实验批次,即 `POST /api/v1/lab/notebook` 返回的 `data.uuid`
如果用户不记得,可提示:
- 查看之前的对话记录中创建 notebook 时返回的 UUID
- 或通过平台页面查找对应的 notebook
**绝不能跳过此步骤,没有 notebook_uuid 无法提交。**
### 4. 实验结果数据
用户需要提供实验结果数据,支持以下方式:
| 方式 | 说明 |
| --------- | ----------------------------------------------- |
| JSON 文件 | 直接作为 `agent_result` 的内容合并 |
| CSV 文件 | 转为 `{"文件名": [行数据...]}` 格式 |
| 手动指定 | 用户直接告知 key-value 数据,由 agent 构建 JSON |
**四项全部就绪后才可开始。**
## Session State
在整个对话过程中agent 需要记住以下状态:
- `lab_uuid` — 实验室 UUID通过 API #1 自动获取,**不需要问用户**
- `notebook_uuid` — 目标 notebook UUID**必须询问用户**
## 请求约定
所有请求使用 `curl -s`PUT 需加 `Content-Type: application/json`
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名),示例中的 `curl` 均指 `curl.exe`。
>
> **PowerShell JSON 传参**PowerShell 中 `-d '{"key":"value"}'` 会因引号转义失败。请将 JSON 写入临时文件,用 `-d '@tmp_body.json'`(单引号包裹 `@`,否则 `@` 会被 PowerShell 解析为 splatting 运算符导致报错)。
---
## API Endpoints
### 1. 获取实验室信息(自动获取 lab_uuid
```bash
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
```
返回:
```json
{ "code": 0, "data": { "uuid": "xxx", "name": "实验室名称" } }
```
记住 `data.uuid``lab_uuid`
### 2. 提交实验结果agent_result
```bash
curl -s -X PUT "$BASE/api/v1/lab/notebook/agent-result" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '<request_body>'
```
请求体结构:
```json
{
"notebook_uuid": "<notebook_uuid>",
"agent_result": {
"<key1>": "<value1>",
"<key2>": 123,
"<nested_key>": {"a": 1, "b": 2},
"<array_key>": [{"col1": "v1", "col2": "v2"}, ...]
}
}
```
> **注意**HTTP 方法是 **PUT**(不是 POST
#### 必要字段
| 字段 | 类型 | 说明 |
| --------------- | ------------- | ------------------------------------------- |
| `notebook_uuid` | string (UUID) | 目标 notebook 的 UUID从批量提交实验时获取 |
| `agent_result` | object | 实验结果数据,任意 JSON 对象 |
#### agent_result 内容格式
`agent_result` 接受**任意 JSON 对象**,常见格式:
**简单键值对**
```json
{
"avg_rtt_ms": 12.5,
"status": "success",
"test_count": 5
}
```
**包含嵌套结构**
```json
{
"summary": { "total": 100, "passed": 98, "failed": 2 },
"measurements": [
{ "sample_id": "S001", "value": 3.14, "unit": "mg/mL" },
{ "sample_id": "S002", "value": 2.71, "unit": "mg/mL" }
]
}
```
**从 CSV 文件导入**(脚本自动转换):
```json
{
"experiment_data": [
{ "温度": 25, "压力": 101.3, "产率": 0.85 },
{ "温度": 30, "压力": 101.3, "产率": 0.91 }
]
}
```
---
## 整合脚本
本文档同级目录下的 `scripts/prepare_agent_result.py` 可自动读取文件并构建请求体。
### 用法
```bash
python scripts/prepare_agent_result.py \
--notebook-uuid <uuid> \
--files data1.json data2.csv \
[--auth <token>] \
[--base <BASE_URL>] \
[--submit] \
[--output <output.json>]
```
| 参数 | 必选 | 说明 |
| ----------------- | ---------- | ----------------------------------------------- |
| `--notebook-uuid` | 是 | 目标 notebook UUID |
| `--files` | 是 | 输入文件路径支持多个JSON / CSV |
| `--auth` | 提交时必选 | Lab tokenbase64(ak:sk) |
| `--base` | 提交时必选 | API base URL |
| `--submit` | 否 | 加上此标志则直接提交到云端 |
| `--output` | 否 | 输出 JSON 路径(默认 `agent_result_body.json` |
### 文件合并规则
| 文件类型 | 合并方式 |
| --------------------- | -------------------------------------------- |
| `.json`dict | 字段直接合并到 `agent_result` 顶层 |
| `.json`list/other | 以文件名为 key 放入 `agent_result` |
| `.csv` | 以文件名(不含扩展名)为 key值为行对象数组 |
多个文件的字段会合并。JSON dict 中的重复 key 后者覆盖前者。
### 示例
```bash
# 仅生成请求体文件(不提交)
python scripts/prepare_agent_result.py \
--notebook-uuid 73c67dca-c8cc-4936-85a0-329106aa7cca \
--files results.json measurements.csv
# 生成并直接提交
python scripts/prepare_agent_result.py \
--notebook-uuid 73c67dca-c8cc-4936-85a0-329106aa7cca \
--files results.json \
--auth YTFmZDlkNGUt... \
--base https://leap-lab.test.bohrium.com \
--submit
```
---
## 手动构建方式
如果不使用脚本,也可手动构建请求体:
1. 将实验结果数据组装为 JSON 对象
2. 写入临时文件:
```json
{
"notebook_uuid": "<uuid>",
"agent_result": { ... }
}
```
3. 用 curl 提交:
```bash
curl -s -X PUT "$BASE/api/v1/lab/notebook/agent-result" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '@tmp_body.json'
```
---
## 完整工作流 Checklist
```
Task Progress:
- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
- [ ] Step 2: 确认 --addr → 设置 BASE URL
- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid
- [ ] Step 4: **询问用户** notebook_uuid必须不可跳过
- [ ] Step 5: 确认实验结果数据来源(文件路径或手动数据)
- [ ] Step 6: 运行 prepare_agent_result.py 或手动构建请求体
- [ ] Step 7: PUT /lab/notebook/agent-result 提交
- [ ] Step 8: 检查返回结果,确认提交成功
```
---
## 常见问题
### Q: notebook_uuid 从哪里获取?
从之前「批量提交实验」时 `POST /api/v1/lab/notebook` 的返回值 `data.uuid` 获取。也可以在平台 UI 中查找对应的 notebook。
### Q: agent_result 有固定的 schema 吗?
没有严格 schema接受任意 JSON 对象。但建议包含有意义的字段名和结构化数据,方便后续分析。
### Q: 可以多次提交同一个 notebook 的结果吗?
可以,后续提交会覆盖之前的 agent_result。
### Q: 认证方式是 Lab 还是 Api
本指南统一使用 `Authorization: Lab <base64(ak:sk)>` 方式(`Lab` 是 Uni-Lab 平台的 auth scheme**绝不能用 `Basic` 替代**)。如果用户有独立的 API Key也可用 `Authorization: Api <key>` 替代。

View File

@@ -0,0 +1,133 @@
"""
读取实验结果文件JSON / CSV整合为 agent_result 请求体并可选提交。
用法:
python prepare_agent_result.py \
--notebook-uuid <uuid> \
--files data1.json data2.csv \
[--auth <Lab token>] \
[--base <BASE_URL>] \
[--submit] \
[--output <output.json>]
支持的输入文件格式:
- .json → 直接作为 dict 合并
- .csv → 转为 {"filename": [row_dict, ...]} 格式
"""
import argparse
import base64
import csv
import json
import os
import sys
from pathlib import Path
from typing import Any, Dict, List
def read_json_file(filepath: str) -> Dict[str, Any]:
with open(filepath, "r", encoding="utf-8") as f:
return json.load(f)
def read_csv_file(filepath: str) -> List[Dict[str, Any]]:
rows = []
with open(filepath, "r", encoding="utf-8-sig") as f:
reader = csv.DictReader(f)
for row in reader:
converted = {}
for k, v in row.items():
try:
converted[k] = int(v)
except (ValueError, TypeError):
try:
converted[k] = float(v)
except (ValueError, TypeError):
converted[k] = v
rows.append(converted)
return rows
def merge_files(filepaths: List[str]) -> Dict[str, Any]:
"""将多个文件合并为一个 agent_result dict"""
merged: Dict[str, Any] = {}
for fp in filepaths:
path = Path(fp)
ext = path.suffix.lower()
key = path.stem
if ext == ".json":
data = read_json_file(fp)
if isinstance(data, dict):
merged.update(data)
else:
merged[key] = data
elif ext == ".csv":
merged[key] = read_csv_file(fp)
else:
print(f"[警告] 不支持的文件格式: {fp},跳过", file=sys.stderr)
return merged
def build_request_body(notebook_uuid: str, agent_result: Dict[str, Any]) -> Dict[str, Any]:
return {
"notebook_uuid": notebook_uuid,
"agent_result": agent_result,
}
def submit(base: str, auth: str, body: Dict[str, Any]) -> Dict[str, Any]:
try:
import requests
except ImportError:
print("[错误] 提交需要 requests 库: pip install requests", file=sys.stderr)
sys.exit(1)
url = f"{base}/api/v1/lab/notebook/agent-result"
headers = {
"Content-Type": "application/json",
"Authorization": f"Lab {auth}",
}
resp = requests.put(url, json=body, headers=headers, timeout=30)
return {"status_code": resp.status_code, "body": resp.json() if resp.headers.get("content-type", "").startswith("application/json") else resp.text}
def main():
parser = argparse.ArgumentParser(description="整合实验结果文件并构建 agent_result 请求体")
parser.add_argument("--notebook-uuid", required=True, help="目标 notebook UUID")
parser.add_argument("--files", nargs="+", required=True, help="输入文件路径JSON / CSV")
parser.add_argument("--auth", help="Lab tokenbase64(ak:sk)")
parser.add_argument("--base", help="API base URL")
parser.add_argument("--submit", action="store_true", help="直接提交到云端")
parser.add_argument("--output", default="agent_result_body.json", help="输出 JSON 文件路径")
args = parser.parse_args()
for fp in args.files:
if not os.path.exists(fp):
print(f"[错误] 文件不存在: {fp}", file=sys.stderr)
sys.exit(1)
agent_result = merge_files(args.files)
body = build_request_body(args.notebook_uuid, agent_result)
with open(args.output, "w", encoding="utf-8") as f:
json.dump(body, f, ensure_ascii=False, indent=2)
print(f"[完成] 请求体已保存: {args.output}")
print(f" notebook_uuid: {args.notebook_uuid}")
print(f" agent_result 字段数: {len(agent_result)}")
print(f" 合并文件数: {len(args.files)}")
if args.submit:
if not args.auth or not args.base:
print("[错误] 提交需要 --auth 和 --base 参数", file=sys.stderr)
sys.exit(1)
print(f"\n[提交] PUT {args.base}/api/v1/lab/notebook/agent-result ...")
result = submit(args.base, args.auth, body)
print(f" HTTP {result['status_code']}")
print(f" 响应: {json.dumps(result['body'], ensure_ascii=False)}")
if __name__ == "__main__":
main()

View File

@@ -0,0 +1,272 @@
---
name: virtual-workbench
description: Operate Virtual Workbench via REST API — prepare materials, move to heating stations, start heating, move to output, transfer resources. Use when the user mentions virtual workbench, virtual_workbench, 虚拟工作台, heating stations, material processing, or workbench operations.
---
# Virtual Workbench API Skill
## 设备信息
- **device_id**: `virtual_workbench`
- **Python 源码**: `unilabos/devices/virtual/workbench.py`
- **设备类**: `VirtualWorkbench`
- **动作数**: 6`auto-prepare_materials`, `auto-move_to_heating_station`, `auto-start_heating`, `auto-move_to_output`, `transfer`, `manual_confirm`
- **设备描述**: 模拟工作台,包含 1 个机械臂(每次操作 2s独占锁和 3 个加热台(每次加热 60s可并行
### 典型工作流程
1. `prepare_materials` — 生成 A1-A5 物料5 个 output handle
2. `move_to_heating_station` — 物料并发竞争机械臂,移动到空闲加热台
3. `start_heating` — 启动加热3 个加热台可并行)
4. `move_to_output` — 加热完成后移到输出位置 Cn
## 前置条件(缺一不可)
使用本 skill 前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
### 1. ak / sk → AUTH
从启动参数 `--ak` `--sk` 或 config.py 中获取,生成 token`base64(ak:sk)``Authorization: Lab <token>`
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
AUTH="Authorization: Lab <token>"
```
**两项全部就绪后才可发起 API 请求。**
## Session State
- `lab_uuid` — 实验室 UUID首次通过 API #1 自动获取,**不需要问用户**
- `device_name``virtual_workbench`
## 请求约定
所有请求使用 `curl -s`POST/PATCH/DELETE 需加 `Content-Type: application/json`
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名)。
---
## API Endpoints
### 1. 获取实验室信息(自动获取 lab_uuid
```bash
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
```
返回 `data.uuid``lab_uuid``data.name``lab_name`
### 2. 创建工作流
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/owner" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"name":"<名称>","lab_uuid":"<lab_uuid>","description":"<描述>"}'
```
返回 `data.uuid``workflow_uuid`。创建成功后告知用户链接:`$BASE/laboratory/$lab_uuid/workflow/$workflow_uuid`
### 3. 创建节点
```bash
curl -s -X POST "$BASE/api/v1/edge/workflow/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"workflow_uuid":"<workflow_uuid>","resource_template_name":"virtual_workbench","node_template_name":"<action_name>"}'
```
- `resource_template_name` 固定为 `virtual_workbench`
- `node_template_name` — action 名称(如 `auto-prepare_materials`, `auto-move_to_heating_station`
### 4. 删除节点
```bash
curl -s -X DELETE "$BASE/api/v1/lab/workflow/nodes" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuids":["<uuid1>"],"workflow_uuid":"<workflow_uuid>"}'
```
### 5. 更新节点参数
```bash
curl -s -X PATCH "$BASE/api/v1/lab/workflow/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"workflow_uuid":"<wf_uuid>","uuid":"<node_uuid>","param":{...}}'
```
参考 [action-index.md](action-index.md) 确定哪些字段是 Slot。
### 6. 查询节点 handles
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/node-handles" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuids":["<node_uuid_1>","<node_uuid_2>"]}'
```
### 7. 批量创建边
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/edges" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"edges":[{"source_node_uuid":"<uuid>","target_node_uuid":"<uuid>","source_handle_uuid":"<uuid>","target_handle_uuid":"<uuid>"}]}'
```
### 8. 启动工作流
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/<workflow_uuid>/run" -H "$AUTH"
```
### 9. 运行设备单动作
```bash
curl -s -X POST "$BASE/api/v1/lab/mcp/run/action" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"lab_uuid":"<lab_uuid>","device_id":"virtual_workbench","action":"<action_name>","action_type":"<type>","param":{...}}'
```
`param` 直接放 goal 里的属性,**不要**再包一层 `{"goal": {...}}`
> **WARNING: `action_type` 必须正确,传错会导致任务永远卡住无法完成。** 从下表或 `actions/<name>.json` 的 `type` 字段获取。
#### action_type 速查表
| action | action_type |
|--------|-------------|
| `auto-prepare_materials` | `UniLabJsonCommand` |
| `auto-move_to_heating_station` | `UniLabJsonCommand` |
| `auto-start_heating` | `UniLabJsonCommand` |
| `auto-move_to_output` | `UniLabJsonCommand` |
| `transfer` | `UniLabJsonCommandAsync` |
| `manual_confirm` | `UniLabJsonCommand` |
### 10. 查询任务状态
```bash
curl -s -X GET "$BASE/api/v1/lab/mcp/task/<task_uuid>" -H "$AUTH"
```
### 11. 运行工作流单节点
```bash
curl -s -X POST "$BASE/api/v1/lab/mcp/run/workflow/action" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuid":"<node_uuid>"}'
```
### 12. 获取资源树(物料信息)
```bash
curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
```
注意 `lab_uuid` 在路径中。返回 `data.nodes[]` 含所有节点(设备 + 物料),每个节点含 `name``uuid``type``parent`
### 13. 获取工作流模板详情
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
```
> 必须使用 `/lab/workflow/template/detail/{uuid}`,其他路径会返回 404。
### 14. 按名称查询物料模板
```bash
curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
```
返回 `data.uuid``res_template_uuid`,用于 API #15
### 15. 创建物料节点
```bash
curl -s -X POST "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"res_template_uuid":"<uuid>","name":"<名称>","display_name":"<显示名>","parent_uuid":"<父节点uuid>","data":{...}}'
```
### 16. 更新物料节点
```bash
curl -s -X PUT "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"uuid":"<节点uuid>","display_name":"<新名称>","data":{...}}'
```
---
## Placeholder Slot 填写规则
| `placeholder_keys` 值 | Slot 类型 | 填写格式 | 选取范围 |
| --------------------- | ------------ | ----------------------------------------------------- | ---------------------- |
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅物料节点(非设备) |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅设备节点type=device |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | 所有节点(设备 + 物料) |
| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已注册的资源类 |
### virtual_workbench 设备的 Slot 字段表
| Action | 字段 | Slot 类型 | 说明 |
| ----------------- | ---------------- | ------------ | -------------------- |
| `transfer` | `resource` | ResourceSlot | 待转移物料数组 |
| `transfer` | `target_device` | DeviceSlot | 目标设备路径 |
| `transfer` | `mount_resource` | ResourceSlot | 目标孔位数组 |
| `manual_confirm` | `resource` | ResourceSlot | 确认用物料数组 |
| `manual_confirm` | `target_device` | DeviceSlot | 确认用目标设备 |
| `manual_confirm` | `mount_resource` | ResourceSlot | 确认用目标孔位数组 |
> `prepare_materials`、`move_to_heating_station`、`start_heating`、`move_to_output` 这 4 个动作**无 Slot 字段**,参数为纯数值/整数。
---
## 渐进加载策略
1. **SKILL.md**(本文件)— API 端点 + session state 管理 + 设备工作流概览
2. **[action-index.md](action-index.md)** — 按分类浏览 6 个动作的描述和核心参数
3. **[actions/\<name\>.json](actions/)** — 仅在需要构建具体请求时,加载对应 action 的完整 JSON Schema
---
## 完整工作流 Checklist
```
Task Progress:
- [ ] Step 1: GET /edge/lab/info 获取 lab_uuid
- [ ] Step 2: 获取资源树 (GET #12) → 记住可用物料
- [ ] Step 3: 读 action-index.md 确定要用的 action 名
- [ ] Step 4: 创建工作流 (POST #2) → 记住 workflow_uuid告知用户链接
- [ ] Step 5: 创建节点 (POST #3, resource_template_name=virtual_workbench) → 记住 node_uuid + data.param
- [ ] Step 6: 根据 _unilabos_placeholder_info 和资源树,填写 data.param 中的 Slot 字段
- [ ] Step 7: 更新节点参数 (PATCH #5)
- [ ] Step 8: 查询节点 handles (POST #6) → 获取各节点的 handle_uuid
- [ ] Step 9: 批量创建边 (POST #7) → 用 handle_uuid 连接节点
- [ ] Step 10: 启动工作流 (POST #8) 或运行单节点 (POST #11)
- [ ] Step 11: 查询任务状态 (GET #10) 确认完成
```
### 典型 5 物料并发加热工作流示例
```
prepare_materials (count=5)
├─ channel_1 → move_to_heating_station (material_number=1) → start_heating → move_to_output
├─ channel_2 → move_to_heating_station (material_number=2) → start_heating → move_to_output
├─ channel_3 → move_to_heating_station (material_number=3) → start_heating → move_to_output
├─ channel_4 → move_to_heating_station (material_number=4) → start_heating → move_to_output
└─ channel_5 → move_to_heating_station (material_number=5) → start_heating → move_to_output
```
创建节点时,`prepare_materials` 的 5 个 output handle`channel_1` ~ `channel_5`)分别连接到 5 个 `move_to_heating_station` 节点的 `material_input` handle。每个 `move_to_heating_station``heating_station_output``material_number_output` 连接到对应 `start_heating``station_id_input``material_number_input`

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# Action Index — virtual_workbench
6 个动作,按功能分类。每个动作的完整 JSON Schema 在 `actions/<name>.json`
---
## 物料准备
### `auto-prepare_materials`
批量准备物料(虚拟起始节点),生成 A1-A5 物料编号,输出 5 个 handle 供后续节点使用
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/prepare_materials.json`](actions/prepare_materials.json)
- **可选参数**: `count`(物料数量,默认 5
---
## 机械臂 & 加热台操作
### `auto-move_to_heating_station`
将物料从 An 位置移动到空闲加热台(竞争机械臂,自动查找空闲加热台)
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/move_to_heating_station.json`](actions/move_to_heating_station.json)
- **核心参数**: `material_number`物料编号integer
### `auto-start_heating`
启动指定加热台的加热程序可并行3 个加热台同时工作)
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/start_heating.json`](actions/start_heating.json)
- **核心参数**: `station_id`(加热台 ID`material_number`(物料编号)
### `auto-move_to_output`
将加热完成的物料从加热台移动到输出位置 Cn
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/move_to_output.json`](actions/move_to_output.json)
- **核心参数**: `station_id`(加热台 ID`material_number`(物料编号)
---
## 物料转移
### `transfer`
异步转移物料到目标设备(通过 ROS 资源转移)
- **action_type**: `UniLabJsonCommandAsync`
- **Schema**: [`actions/transfer.json`](actions/transfer.json)
- **核心参数**: `resource`, `target_device`, `mount_resource`
- **占位符字段**:
- `resource`**ResourceSlot**,待转移的物料数组 `[{id, name, uuid}, ...]`
- `target_device`**DeviceSlot**,目标设备路径字符串
- `mount_resource`**ResourceSlot**,目标孔位数组 `[{id, name, uuid}, ...]`
---
## 人工确认
### `manual_confirm`
创建人工确认节点,等待用户手动确认后继续(含物料转移上下文)
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/manual_confirm.json`](actions/manual_confirm.json)
- **核心参数**: `resource`, `target_device`, `mount_resource`, `timeout_seconds`, `assignee_user_ids`
- **占位符字段**:
- `resource`**ResourceSlot**,物料数组
- `target_device`**DeviceSlot**,目标设备路径
- `mount_resource`**ResourceSlot**,目标孔位数组
- `assignee_user_ids``unilabos_manual_confirm` 类型

View File

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{
"type": "UniLabJsonCommand",
"goal": {
"resource": "resource",
"target_device": "target_device",
"mount_resource": "mount_resource",
"timeout_seconds": "timeout_seconds",
"assignee_user_ids": "assignee_user_ids"
},
"schema": {
"type": "object",
"properties": {
"resource": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "resource"
},
"type": "array"
},
"target_device": {
"type": "string",
"description": "device reference"
},
"mount_resource": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "mount_resource"
},
"type": "array"
},
"timeout_seconds": {
"type": "integer"
},
"assignee_user_ids": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"resource",
"target_device",
"mount_resource",
"timeout_seconds",
"assignee_user_ids"
],
"_unilabos_placeholder_info": {
"resource": "unilabos_resources",
"target_device": "unilabos_devices",
"mount_resource": "unilabos_resources",
"assignee_user_ids": "unilabos_manual_confirm"
}
},
"goal_default": {},
"placeholder_keys": {
"resource": "unilabos_resources",
"target_device": "unilabos_devices",
"mount_resource": "unilabos_resources",
"assignee_user_ids": "unilabos_manual_confirm"
}
}

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@@ -0,0 +1,19 @@
{
"type": "UniLabJsonCommand",
"goal": {
"material_number": "material_number"
},
"schema": {
"type": "object",
"properties": {
"material_number": {
"type": "integer"
}
},
"required": [
"material_number"
]
},
"goal_default": {},
"placeholder_keys": {}
}

View File

@@ -0,0 +1,24 @@
{
"type": "UniLabJsonCommand",
"goal": {
"station_id": "station_id",
"material_number": "material_number"
},
"schema": {
"type": "object",
"properties": {
"station_id": {
"type": "integer"
},
"material_number": {
"type": "integer"
}
},
"required": [
"station_id",
"material_number"
]
},
"goal_default": {},
"placeholder_keys": {}
}

View File

@@ -0,0 +1,20 @@
{
"type": "UniLabJsonCommand",
"goal": {
"count": "count"
},
"schema": {
"type": "object",
"properties": {
"count": {
"type": "integer",
"default": 5
}
},
"required": []
},
"goal_default": {
"count": 5
},
"placeholder_keys": {}
}

View File

@@ -0,0 +1,24 @@
{
"type": "UniLabJsonCommand",
"goal": {
"station_id": "station_id",
"material_number": "material_number"
},
"schema": {
"type": "object",
"properties": {
"station_id": {
"type": "integer"
},
"material_number": {
"type": "integer"
}
},
"required": [
"station_id",
"material_number"
]
},
"goal_default": {},
"placeholder_keys": {}
}

View File

@@ -0,0 +1,255 @@
{
"type": "UniLabJsonCommandAsync",
"goal": {
"resource": "resource",
"target_device": "target_device",
"mount_resource": "mount_resource"
},
"schema": {
"type": "object",
"properties": {
"resource": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "resource"
},
"type": "array"
},
"target_device": {
"type": "string",
"description": "device reference"
},
"mount_resource": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "mount_resource"
},
"type": "array"
}
},
"required": [
"resource",
"target_device",
"mount_resource"
],
"_unilabos_placeholder_info": {
"resource": "unilabos_resources",
"target_device": "unilabos_devices",
"mount_resource": "unilabos_resources"
}
},
"goal_default": {},
"placeholder_keys": {
"resource": "unilabos_resources",
"target_device": "unilabos_devices",
"mount_resource": "unilabos_resources"
}
}

View File

@@ -12,7 +12,7 @@ Uni-Lab 使用 Python 格式的配置文件(`.py`),默认为 `unilabos_dat
**获取方式:**
进入 [Uni-Lab 实验室](https://uni-lab.bohrium.com),点击左下角的头像,在实验室详情中获取所在实验室的 ak 和 sk
进入 [Uni-Lab 实验室](https://leap-lab.bohrium.com),点击左下角的头像,在实验室详情中获取所在实验室的 ak 和 sk
![copy_aksk.gif](image/copy_aksk.gif)
@@ -69,7 +69,7 @@ class WSConfig:
# HTTP配置
class HTTPConfig:
remote_addr = "https://uni-lab.bohrium.com/api/v1" # 远程服务器地址
remote_addr = "https://leap-lab.bohrium.com/api/v1" # 远程服务器地址
# ROS配置
class ROSConfig:
@@ -209,8 +209,8 @@ unilab --ak "key" --sk "secret" --addr "test" --upload_registry --2d_vis -g grap
`--addr` 参数支持以下预设值,会自动转换为对应的完整 URL
- `test``https://uni-lab.test.bohrium.com/api/v1`
- `uat``https://uni-lab.uat.bohrium.com/api/v1`
- `test``https://leap-lab.test.bohrium.com/api/v1`
- `uat``https://leap-lab.uat.bohrium.com/api/v1`
- `local``http://127.0.0.1:48197/api/v1`
- 其他值 → 直接使用作为完整 URL
@@ -248,7 +248,7 @@ unilab --ak "key" --sk "secret" --addr "test" --upload_registry --2d_vis -g grap
`ak``sk` 是必需的认证参数:
1. **获取方式**:在 [Uni-Lab 官网](https://uni-lab.bohrium.com) 注册实验室后获得
1. **获取方式**:在 [Uni-Lab 官网](https://leap-lab.bohrium.com) 注册实验室后获得
2. **配置方式**
- **命令行参数**`--ak "your_key" --sk "your_secret"`(最高优先级,推荐)
- **环境变量**`UNILABOS_BASICCONFIG_AK``UNILABOS_BASICCONFIG_SK`
@@ -275,15 +275,15 @@ WebSocket 是 Uni-Lab 的主要通信方式:
HTTP 客户端配置用于与云端服务通信:
| 参数 | 类型 | 默认值 | 说明 |
| ------------- | ---- | -------------------------------------- | ------------ |
| `remote_addr` | str | `"https://uni-lab.bohrium.com/api/v1"` | 远程服务地址 |
| 参数 | 类型 | 默认值 | 说明 |
| ------------- | ---- | --------------------------------------- | ------------ |
| `remote_addr` | str | `"https://leap-lab.bohrium.com/api/v1"` | 远程服务地址 |
**预设环境地址**
- 生产环境:`https://uni-lab.bohrium.com/api/v1`(默认)
- 测试环境:`https://uni-lab.test.bohrium.com/api/v1`
- UAT 环境:`https://uni-lab.uat.bohrium.com/api/v1`
- 生产环境:`https://leap-lab.bohrium.com/api/v1`(默认)
- 测试环境:`https://leap-lab.test.bohrium.com/api/v1`
- UAT 环境:`https://leap-lab.uat.bohrium.com/api/v1`
- 本地环境:`http://127.0.0.1:48197/api/v1`
### 4. ROSConfig - ROS 配置
@@ -401,7 +401,7 @@ export UNILABOS_WSCONFIG_RECONNECT_INTERVAL="10"
export UNILABOS_WSCONFIG_MAX_RECONNECT_ATTEMPTS="500"
# 设置HTTP配置
export UNILABOS_HTTPCONFIG_REMOTE_ADDR="https://uni-lab.test.bohrium.com/api/v1"
export UNILABOS_HTTPCONFIG_REMOTE_ADDR="https://leap-lab.test.bohrium.com/api/v1"
```
## 配置文件使用方法
@@ -484,13 +484,13 @@ export UNILABOS_WSCONFIG_MAX_RECONNECT_ATTEMPTS=100
```python
class HTTPConfig:
remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
remote_addr = "https://leap-lab.test.bohrium.com/api/v1"
```
**环境变量方式:**
```bash
export UNILABOS_HTTPCONFIG_REMOTE_ADDR=https://uni-lab.test.bohrium.com/api/v1
export UNILABOS_HTTPCONFIG_REMOTE_ADDR=https://leap-lab.test.bohrium.com/api/v1
```
**命令行方式(推荐):**

View File

@@ -23,7 +23,7 @@ Uni-Lab-OS 支持多种部署模式:
```
┌──────────────────────────────────────────────┐
│ Cloud Platform/Self-hosted Platform │
uni-lab.bohrium.com │
leap-lab.bohrium.com │
│ (Resource Management, Task Scheduling, │
│ Monitoring) │
└────────────────────┬─────────────────────────┘
@@ -444,7 +444,7 @@ ros2 daemon stop && ros2 daemon start
```bash
# 测试云端连接
curl https://uni-lab.bohrium.com/api/v1/health
curl https://leap-lab.bohrium.com/api/v1/health
# 测试WebSocket
# 启动Uni-Lab后查看日志

View File

@@ -33,11 +33,11 @@
**选择合适的安装包:**
| 安装包 | 适用场景 | 包含组件 |
|--------|----------|----------|
| `unilabos` | **推荐大多数用户**,生产部署 | 完整安装包,开箱即用 |
| `unilabos-env` | 开发者(可编辑安装) | 仅环境依赖,通过 pip 安装 unilabos |
| `unilabos-full` | 仿真/可视化 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt |
| 安装包 | 适用场景 | 包含组件 |
| --------------- | ---------------------------- | --------------------------------------------- |
| `unilabos` | **推荐大多数用户**,生产部署 | 完整安装包,开箱即用 |
| `unilabos-env` | 开发者(可编辑安装) | 仅环境依赖,通过 pip 安装 unilabos |
| `unilabos-full` | 仿真/可视化 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt |
**关键步骤:**
@@ -66,6 +66,7 @@ mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
```
**选择建议:**
- **日常使用/生产部署**:使用 `unilabos`(推荐),完整功能,开箱即用
- **开发者**:使用 `unilabos-env` + `pip install -e .` + `uv pip install -r unilabos/utils/requirements.txt`,代码修改立即生效
- **仿真/可视化**:使用 `unilabos-full`,含 Gazebo、rviz2、MoveIt
@@ -88,7 +89,7 @@ python -c "from unilabos_msgs.msg import Resource; print('ROS msgs OK')"
#### 2.1 注册实验室账号
1. 访问 [https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
1. 访问 [https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
2. 注册账号并登录
3. 创建新实验室
@@ -297,7 +298,7 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
#### 5.2 访问 Web 界面
启动系统后,访问[https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
启动系统后,访问[https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
#### 5.3 添加设备和物料
@@ -306,12 +307,10 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
**示例场景:** 创建一个简单的液体转移实验
1. **添加工作站(必需):**
- 在"仪器设备"中找到 `work_station`
- 添加 `workstation` x1
2. **添加虚拟转移泵:**
- 在"仪器设备"中找到 `virtual_device`
- 添加 `virtual_transfer_pump` x1
@@ -818,6 +817,7 @@ uv pip install -r unilabos/utils/requirements.txt
```
**为什么使用这种方式?**
- `unilabos-env` 提供 ROS2 核心组件和 uv通过 conda 安装,避免编译)
- `unilabos/utils/requirements.txt` 包含所有运行时需要的 pip 依赖
- `dev_install.py` 自动检测中文环境,中文系统自动使用清华镜像
@@ -1796,32 +1796,27 @@ unilab --ak your_ak --sk your_sk -g graph.json \
**详细步骤:**
1. **需求分析**
- 明确实验流程
- 列出所需设备和物料
- 设计工作流程图
2. **环境搭建**
- 安装 Uni-Lab-OS
- 创建实验室账号
- 准备开发工具IDE、Git
3. **原型验证**
- 使用虚拟设备测试流程
- 验证工作流逻辑
- 调整参数
4. **迭代开发**
- 实现自定义设备驱动(同时撰写单点函数测试)
- 编写注册表
- 单元测试
- 集成测试
5. **测试部署**
- 连接真实硬件
- 空跑测试
- 小规模试验
@@ -1871,7 +1866,7 @@ unilab --ak your_ak --sk your_sk -g graph.json \
#### 14.5 社区支持
- **GitHub Issues**[https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)
- **官方网站**[https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
- **官方网站**[https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
---

View File

@@ -626,7 +626,7 @@ unilab
**云端图文件管理**:
1. 登录 https://uni-lab.bohrium.com
1. 登录 https://leap-lab.bohrium.com
2. 进入"设备配置"
3. 创建或编辑配置
4. 保存到云端

View File

@@ -54,7 +54,6 @@ Uni-Lab 的启动过程分为以下几个阶段:
您可以直接跟随 unilabos 的提示进行,无需查阅本节
- **工作目录设置**
- 如果当前目录以 `unilabos_data` 结尾,则使用当前目录
- 否则使用 `当前目录/unilabos_data` 作为工作目录
- 可通过 `--working_dir` 指定自定义工作目录
@@ -68,8 +67,8 @@ Uni-Lab 的启动过程分为以下几个阶段:
支持多种后端环境:
- `--addr test`:测试环境 (`https://uni-lab.test.bohrium.com/api/v1`)
- `--addr uat`UAT 环境 (`https://uni-lab.uat.bohrium.com/api/v1`)
- `--addr test`:测试环境 (`https://leap-lab.test.bohrium.com/api/v1`)
- `--addr uat`UAT 环境 (`https://leap-lab.uat.bohrium.com/api/v1`)
- `--addr local`:本地环境 (`http://127.0.0.1:48197/api/v1`)
- 自定义地址:直接指定完整 URL
@@ -176,7 +175,7 @@ unilab --config path/to/your/config.py
如果是首次使用,系统会:
1. 提示前往 https://uni-lab.bohrium.com 注册实验室
1. 提示前往 https://leap-lab.bohrium.com 注册实验室
2. 引导创建配置文件
3. 设置工作目录
@@ -216,7 +215,7 @@ unilab --ak your_ak --sk your_sk --port 8080 --disable_browser
如果提示 "后续运行必须拥有一个实验室",请确保:
- 已在 https://uni-lab.bohrium.com 注册实验室
- 已在 https://leap-lab.bohrium.com 注册实验室
- 正确设置了 `--ak``--sk` 参数
- 配置文件中包含正确的认证信息

View File

@@ -1,6 +1,6 @@
package:
name: ros-humble-unilabos-msgs
version: 0.10.19
version: 0.11.1
source:
path: ../../unilabos_msgs
target_directory: src

View File

@@ -1,6 +1,6 @@
package:
name: unilabos
version: "0.10.19"
version: "0.11.1"
source:
path: ../..

View File

@@ -4,7 +4,7 @@ package_name = 'unilabos'
setup(
name=package_name,
version='0.10.19',
version='0.11.1',
packages=find_packages(),
include_package_data=True,
install_requires=['setuptools'],

View File

@@ -1,296 +0,0 @@
"""
批量转运编译器测试
覆盖单物料退化、刚好一批、多批次、空操作、AGV 配置发现、children dict 状态。
"""
import pytest
import networkx as nx
from unilabos.compile.batch_transfer_protocol import generate_batch_transfer_protocol
from unilabos.compile.agv_transfer_protocol import generate_agv_transfer_protocol
from unilabos.compile._agv_utils import find_agv_config, get_agv_capacity, split_batches
# ============ 构建测试用设备图 ============
def _make_graph(capacity_x=2, capacity_y=1, capacity_z=1):
"""构建包含 AGV 节点的测试设备图"""
G = nx.DiGraph()
# AGV 节点
G.add_node("AGV", **{
"type": "device",
"class_": "agv_transport_station",
"config": {
"protocol_type": ["AGVTransferProtocol", "BatchTransferProtocol"],
"device_roles": {
"navigator": "zhixing_agv",
"arm": "zhixing_ur_arm"
},
"route_table": {
"StationA->StationB": {
"nav_command": '{"target": "LM1"}',
"arm_pick": '{"task_name": "pick.urp"}',
"arm_place": '{"task_name": "place.urp"}'
},
"AGV->StationA": {
"nav_command": '{"target": "LM1"}',
"arm_pick": '{"task_name": "pick.urp"}',
"arm_place": '{"task_name": "place.urp"}'
},
"StationA->StationA": {
"nav_command": '{"target": "LM1"}',
"arm_pick": '{"task_name": "pick.urp"}',
"arm_place": '{"task_name": "place.urp"}'
},
}
}
})
# AGV 子设备
G.add_node("zhixing_agv", type="device", class_="zhixing_agv")
G.add_node("zhixing_ur_arm", type="device", class_="zhixing_ur_arm")
G.add_edge("AGV", "zhixing_agv")
G.add_edge("AGV", "zhixing_ur_arm")
# AGV Warehouse 子资源
G.add_node("agv_platform", **{
"type": "warehouse",
"config": {
"name": "agv_platform",
"num_items_x": capacity_x,
"num_items_y": capacity_y,
"num_items_z": capacity_z,
}
})
G.add_edge("AGV", "agv_platform")
# 来源/目标工站
G.add_node("StationA", type="device", class_="workstation")
G.add_node("StationB", type="device", class_="workstation")
return G
def _make_repos(items_count=2):
"""构建测试用的 from_repo 和 to_repo dict"""
children = {}
for i in range(items_count):
pos = f"A{i + 1:02d}"
children[pos] = {
"id": f"resource_{i + 1}",
"name": f"R{i + 1}",
"parent": "StationA",
"type": "resource",
}
from_repo = {
"StationA": {
"id": "StationA",
"name": "StationA",
"children": children,
}
}
to_repo = {
"StationB": {
"id": "StationB",
"name": "StationB",
"children": {},
}
}
return from_repo, to_repo
def _make_items(count=2):
"""构建 transfer_resources / from_positions / to_positions"""
resources = [
{
"id": f"resource_{i + 1}",
"name": f"R{i + 1}",
"sample_id": f"uuid-{i + 1}",
"parent": "StationA",
"type": "resource",
}
for i in range(count)
]
from_positions = [f"A{i + 1:02d}" for i in range(count)]
to_positions = [f"A{i + 1:02d}" for i in range(count)]
return resources, from_positions, to_positions
# ============ _agv_utils 测试 ============
class TestAGVUtils:
def test_find_agv_config(self):
G = _make_graph()
cfg = find_agv_config(G)
assert cfg["agv_id"] == "AGV"
assert cfg["device_roles"]["navigator"] == "zhixing_agv"
assert cfg["device_roles"]["arm"] == "zhixing_ur_arm"
assert "StationA->StationB" in cfg["route_table"]
def test_find_agv_config_by_id(self):
G = _make_graph()
cfg = find_agv_config(G, agv_id="AGV")
assert cfg["agv_id"] == "AGV"
def test_find_agv_config_not_found(self):
G = nx.DiGraph()
G.add_node("SomeDevice", type="device", class_="pump")
with pytest.raises(ValueError, match="未找到 AGV"):
find_agv_config(G)
def test_get_agv_capacity(self):
G = _make_graph(capacity_x=2, capacity_y=1, capacity_z=1)
assert get_agv_capacity(G, "AGV") == 2
def test_get_agv_capacity_multi_layer(self):
G = _make_graph(capacity_x=1, capacity_y=2, capacity_z=3)
assert get_agv_capacity(G, "AGV") == 6
def test_split_batches_exact(self):
assert split_batches([1, 2], 2) == [[1, 2]]
def test_split_batches_overflow(self):
assert split_batches([1, 2, 3], 2) == [[1, 2], [3]]
def test_split_batches_single(self):
assert split_batches([1], 4) == [[1]]
def test_split_batches_zero_capacity(self):
with pytest.raises(ValueError):
split_batches([1], 0)
# ============ 批量转运编译器测试 ============
class TestBatchTransferProtocol:
def test_empty_items(self):
"""空物料列表返回空 steps"""
G = _make_graph()
from_repo, to_repo = _make_repos(0)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, [], [], [])
assert steps == []
def test_single_item(self):
"""单物料转运BatchTransfer 退化为单物料)"""
G = _make_graph(capacity_x=2)
from_repo, to_repo = _make_repos(1)
resources, from_pos, to_pos = _make_items(1)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
# 应该有: nav到来源 + 1个pick + nav到目标 + 1个place = 4 steps
assert len(steps) == 4
assert steps[0]["action_name"] == "send_nav_task"
assert steps[1]["action_name"] == "move_pos_task"
assert steps[1]["_transfer_meta"]["phase"] == "pick"
assert steps[2]["action_name"] == "send_nav_task"
assert steps[3]["action_name"] == "move_pos_task"
assert steps[3]["_transfer_meta"]["phase"] == "place"
def test_exact_capacity(self):
"""物料数 = AGV 容量,刚好一批"""
G = _make_graph(capacity_x=2)
from_repo, to_repo = _make_repos(2)
resources, from_pos, to_pos = _make_items(2)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
# nav + 2 pick + nav + 2 place = 6 steps
assert len(steps) == 6
pick_steps = [s for s in steps if s.get("_transfer_meta", {}).get("phase") == "pick"]
place_steps = [s for s in steps if s.get("_transfer_meta", {}).get("phase") == "place"]
assert len(pick_steps) == 2
assert len(place_steps) == 2
def test_multi_batch(self):
"""物料数 > AGV 容量,自动分批"""
G = _make_graph(capacity_x=2)
from_repo, to_repo = _make_repos(3)
resources, from_pos, to_pos = _make_items(3)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
# 批次1: nav + 2 pick + nav + 2 place + nav(返回) = 7
# 批次2: nav + 1 pick + nav + 1 place = 4
# 总计 11 steps
assert len(steps) == 11
nav_steps = [s for s in steps if s["action_name"] == "send_nav_task"]
# 批次1: 2 nav(去来源+去目标) + 1 nav(返回) + 批次2: 2 nav = 5 nav
assert len(nav_steps) == 5
def test_children_dict_updated(self):
"""compile 阶段三方 children dict 状态正确"""
G = _make_graph(capacity_x=2)
from_repo, to_repo = _make_repos(2)
resources, from_pos, to_pos = _make_items(2)
assert "A01" in from_repo["StationA"]["children"]
assert "A02" in from_repo["StationA"]["children"]
assert len(to_repo["StationB"]["children"]) == 0
generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
# compile 后 from_repo 的 children 应该被 pop 掉
assert "A01" not in from_repo["StationA"]["children"]
assert "A02" not in from_repo["StationA"]["children"]
# to_repo 应该有新物料
assert "A01" in to_repo["StationB"]["children"]
assert "A02" in to_repo["StationB"]["children"]
assert to_repo["StationB"]["children"]["A01"]["id"] == "resource_1"
def test_device_ids_from_config(self):
"""设备 ID 全部从配置读取,不硬编码"""
G = _make_graph()
from_repo, to_repo = _make_repos(1)
resources, from_pos, to_pos = _make_items(1)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
device_ids = {s["device_id"] for s in steps}
assert "zhixing_agv" in device_ids
assert "zhixing_ur_arm" in device_ids
def test_route_not_found(self):
"""路由表中无对应路线时报错"""
G = _make_graph()
from_repo = {"Unknown": {"id": "Unknown", "children": {"A01": {"id": "R1", "parent": "Unknown"}}}}
to_repo = {"Other": {"id": "Other", "children": {}}}
resources = [{"id": "R1", "name": "R1"}]
with pytest.raises(KeyError, match="路由表"):
generate_batch_transfer_protocol(G, from_repo, to_repo, resources, ["A01"], ["B01"])
def test_length_mismatch(self):
"""三个数组长度不一致时报错"""
G = _make_graph()
from_repo, to_repo = _make_repos(2)
resources = [{"id": "R1"}]
with pytest.raises(ValueError, match="长度不一致"):
generate_batch_transfer_protocol(G, from_repo, to_repo, resources, ["A01", "A02"], ["B01"])
# ============ 改造后的 AGV 单物料编译器测试 ============
class TestAGVTransferProtocol:
def test_single_transfer_from_config(self):
"""改造后的单物料编译器从 G 读取配置"""
G = _make_graph()
from_repo = {"StationA": {"id": "StationA", "children": {"A01": {"id": "R1", "parent": "StationA"}}}}
to_repo = {"StationB": {"id": "StationB", "children": {}}}
steps = generate_agv_transfer_protocol(G, from_repo, "A01", to_repo, "B01")
assert len(steps) == 2
assert steps[0]["device_id"] == "zhixing_agv"
assert steps[0]["action_name"] == "send_nav_task"
assert steps[1]["device_id"] == "zhixing_ur_arm"
assert steps[1]["action_name"] == "move_pos_task"
def test_children_updated(self):
"""单物料编译后 children dict 正确更新"""
G = _make_graph()
from_repo = {"StationA": {"id": "StationA", "children": {"A01": {"id": "R1", "parent": "StationA"}}}}
to_repo = {"StationB": {"id": "StationB", "children": {}}}
generate_agv_transfer_protocol(G, from_repo, "A01", to_repo, "B01")
assert "A01" not in from_repo["StationA"]["children"]
assert "B01" in to_repo["StationB"]["children"]
assert to_repo["StationB"]["children"]["B01"]["parent"] == "StationB"

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@@ -1,706 +0,0 @@
"""
全链路集成测试ROS Goal 转换 → ResourceTreeSet → get_plr_nested_dict → 编译器 → 动作列表
模拟 workstation.py 中的完整路径:
1. host 返回 raw_data模拟 resource_get 响应)
2. ResourceTreeSet.from_raw_dict_list(raw_data) 构建资源树
3. tree.root_node.get_plr_nested_dict() 生成嵌套 dict
4. protocol_kwargs 传给编译器
5. 编译器返回 action_list验证结构和关键字段
"""
import copy
import json
import pytest
import networkx as nx
from unilabos.resources.resource_tracker import (
ResourceDictInstance,
ResourceTreeSet,
)
from unilabos.compile.utils.resource_helper import (
ensure_resource_instance,
resource_to_dict,
get_resource_id,
get_resource_data,
)
from unilabos.compile.utils.vessel_parser import get_vessel
# ============ 构建模拟设备图 ============
def _build_test_graph():
"""构建一个包含常用设备节点的测试图"""
G = nx.DiGraph()
# 容器
G.add_node("reactor_01", **{
"id": "reactor_01",
"name": "reactor_01",
"type": "device",
"class": "virtual_stirrer",
"data": {},
"config": {},
})
# 搅拌设备
G.add_node("stirrer_1", **{
"id": "stirrer_1",
"name": "stirrer_1",
"type": "device",
"class": "virtual_stirrer",
"data": {},
"config": {},
})
G.add_edge("stirrer_1", "reactor_01")
# 加热设备
G.add_node("heatchill_1", **{
"id": "heatchill_1",
"name": "heatchill_1",
"type": "device",
"class": "virtual_heatchill",
"data": {},
"config": {},
})
G.add_edge("heatchill_1", "reactor_01")
# 试剂容器(液体)
G.add_node("flask_water", **{
"id": "flask_water",
"name": "flask_water",
"type": "container",
"class": "",
"data": {"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 500.0}]},
"config": {"reagent": "water"},
})
# 固体加样器
G.add_node("solid_dispenser_1", **{
"id": "solid_dispenser_1",
"name": "solid_dispenser_1",
"type": "device",
"class": "solid_dispenser",
"data": {},
"config": {},
})
# 泵
G.add_node("pump_1", **{
"id": "pump_1",
"name": "pump_1",
"type": "device",
"class": "virtual_pump",
"data": {},
"config": {},
})
G.add_edge("flask_water", "pump_1")
G.add_edge("pump_1", "reactor_01")
return G
# ============ 构建模拟 host 返回数据 ============
def _make_raw_resource(
id="reactor_01",
uuid="uuid-reactor-01",
name="reactor_01",
klass="virtual_stirrer",
type_="device",
parent=None,
parent_uuid=None,
data=None,
config=None,
extra=None,
):
"""模拟 host 返回的单个资源 dict与 resource_get 服务响应一致)"""
return {
"id": id,
"uuid": uuid,
"name": name,
"class": klass,
"type": type_,
"parent": parent,
"parent_uuid": parent_uuid or "",
"description": "",
"config": config or {},
"data": data or {},
"extra": extra or {},
"position": {"x": 0.0, "y": 0.0, "z": 0.0},
}
def _simulate_workstation_resource_enrichment(raw_data_list, field_type="unilabos_msgs/Resource"):
"""
模拟 workstation.py 中 resource enrichment 的核心逻辑:
raw_data → ResourceTreeSet.from_raw_dict_list → get_plr_nested_dict → protocol_kwargs[k]
"""
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data_list)
if field_type == "unilabos_msgs/Resource":
# 单个 Resource取第一棵树的根节点
root_instance = tree_set.trees[0].root_node if tree_set.trees else None
return root_instance.get_plr_nested_dict() if root_instance else {}
else:
# sequence<Resource>:返回列表
return [tree.root_node.get_plr_nested_dict() for tree in tree_set.trees]
# ============ 全链路测试Stir 协议 ============
class TestStirProtocolFullChain:
"""Stir 协议全链路host raw_data → enriched dict → compiler → action_list"""
def test_stir_with_enriched_resource_dict(self):
"""单个 Resource 经过 enrichment 后传给 stir compiler"""
from unilabos.compile.stir_protocol import generate_stir_protocol
raw_data = [_make_raw_resource(
id="reactor_01", uuid="uuid-reactor-01",
klass="virtual_stirrer", type_="device",
)]
# 模拟 workstation enrichment
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
assert enriched_vessel["id"] == "reactor_01"
assert enriched_vessel["uuid"] == "uuid-reactor-01"
assert enriched_vessel["class"] == "virtual_stirrer"
# 传给编译器
G = _build_test_graph()
actions = generate_stir_protocol(
G=G,
vessel=enriched_vessel,
time="60",
stir_speed=300.0,
)
assert isinstance(actions, list)
assert len(actions) >= 1
action = actions[0]
assert action["device_id"] == "stirrer_1"
assert action["action_name"] == "stir"
assert "vessel" in action["action_kwargs"]
assert action["action_kwargs"]["vessel"]["id"] == "reactor_01"
def test_stir_with_resource_dict_instance(self):
"""直接用 ResourceDictInstance 传给 stir compiler通过 get_plr_nested_dict 转换)"""
from unilabos.compile.stir_protocol import generate_stir_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
inst = tree_set.trees[0].root_node
# 通过 resource_to_dict 转换resource_helper 兼容层)
vessel_dict = resource_to_dict(inst)
assert isinstance(vessel_dict, dict)
assert vessel_dict["id"] == "reactor_01"
G = _build_test_graph()
actions = generate_stir_protocol(G=G, vessel=vessel_dict, time="30")
assert len(actions) >= 1
assert actions[0]["action_name"] == "stir"
def test_stir_with_string_vessel(self):
"""兼容旧模式:直接传 vessel 字符串"""
from unilabos.compile.stir_protocol import generate_stir_protocol
G = _build_test_graph()
actions = generate_stir_protocol(G=G, vessel="reactor_01", time="30")
assert len(actions) >= 1
assert actions[0]["device_id"] == "stirrer_1"
assert actions[0]["action_kwargs"]["vessel"]["id"] == "reactor_01"
# ============ 全链路测试HeatChill 协议 ============
class TestHeatChillProtocolFullChain:
"""HeatChill 协议全链路"""
def test_heatchill_with_enriched_resource(self):
from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
raw_data = [_make_raw_resource(id="reactor_01", klass="virtual_stirrer")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_heat_chill_protocol(
G=G,
vessel=enriched_vessel,
temp=80.0,
time="300",
)
assert isinstance(actions, list)
assert len(actions) >= 1
action = actions[0]
assert action["device_id"] == "heatchill_1"
assert action["action_name"] == "heat_chill"
assert action["action_kwargs"]["temp"] == 80.0
def test_heatchill_start_with_enriched_resource(self):
from unilabos.compile.heatchill_protocol import generate_heat_chill_start_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_heat_chill_start_protocol(
G=G,
vessel=enriched_vessel,
temp=60.0,
)
assert len(actions) >= 1
assert actions[0]["action_name"] == "heat_chill_start"
assert actions[0]["action_kwargs"]["temp"] == 60.0
def test_heatchill_stop_with_enriched_resource(self):
from unilabos.compile.heatchill_protocol import generate_heat_chill_stop_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_heat_chill_stop_protocol(G=G, vessel=enriched_vessel)
assert len(actions) >= 1
assert actions[0]["action_name"] == "heat_chill_stop"
# ============ 全链路测试Add 协议 ============
class TestAddProtocolFullChain:
"""Add 协议全链路vessel enrichment + reagent 查找 + 泵传输"""
def test_add_solid_with_enriched_resource(self):
from unilabos.compile.add_protocol import generate_add_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_add_protocol(
G=G,
vessel=enriched_vessel,
reagent="NaCl",
mass="5 g",
)
assert isinstance(actions, list)
assert len(actions) >= 1
# 应该包含至少一个 add_solid 或 log_message 动作
action_names = [a.get("action_name", "") for a in actions]
assert any(name in ["add_solid", "log_message"] for name in action_names)
def test_add_liquid_with_enriched_resource(self):
from unilabos.compile.add_protocol import generate_add_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_add_protocol(
G=G,
vessel=enriched_vessel,
reagent="water",
volume="10 mL",
)
assert isinstance(actions, list)
assert len(actions) >= 1
# ============ 全链路测试ResourceDictInstance 兼容层 ============
class TestResourceDictInstanceCompatibility:
"""验证编译器兼容层对 ResourceDictInstance 的处理"""
def test_get_vessel_from_enriched_dict(self):
"""get_vessel 对 enriched dict 的处理"""
raw_data = [_make_raw_resource(
id="reactor_01",
data={"temperature": 25.0, "liquid": [{"liquid_type": "water", "volume": 10.0}]},
)]
enriched = _simulate_workstation_resource_enrichment(raw_data)
vessel_id, vessel_data = get_vessel(enriched)
assert vessel_id == "reactor_01"
assert vessel_data["temperature"] == 25.0
assert len(vessel_data["liquid"]) == 1
def test_get_vessel_from_resource_instance(self):
"""get_vessel 直接对 ResourceDictInstance 的处理"""
raw_data = [_make_raw_resource(
id="reactor_01",
data={"temperature": 25.0},
)]
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
inst = tree_set.trees[0].root_node
vessel_id, vessel_data = get_vessel(inst)
assert vessel_id == "reactor_01"
assert vessel_data["temperature"] == 25.0
def test_ensure_resource_instance_round_trip(self):
"""ensure_resource_instance → resource_to_dict 无损往返"""
raw_data = [_make_raw_resource(
id="reactor_01", uuid="uuid-r01", klass="virtual_stirrer",
data={"temp": 25.0},
)]
enriched = _simulate_workstation_resource_enrichment(raw_data)
# dict → ResourceDictInstance
inst = ensure_resource_instance(enriched)
assert isinstance(inst, ResourceDictInstance)
assert inst.res_content.id == "reactor_01"
assert inst.res_content.uuid == "uuid-r01"
# ResourceDictInstance → dict
d = resource_to_dict(inst)
assert isinstance(d, dict)
assert d["id"] == "reactor_01"
assert d["uuid"] == "uuid-r01"
assert d["class"] == "virtual_stirrer"
# ============ 全链路测试:带 children 的资源树 ============
class TestResourceTreeWithChildren:
"""测试带 children 结构的资源树通过编译器的路径"""
def _make_tree_with_children(self):
"""构建 StationA -> [Flask1, Flask2] 的资源树"""
return [
_make_raw_resource(
id="StationA", uuid="uuid-station-a",
name="StationA", klass="workstation", type_="device",
),
_make_raw_resource(
id="Flask1", uuid="uuid-flask-1",
name="Flask1", klass="", type_="resource",
parent="StationA", parent_uuid="uuid-station-a",
data={"liquid": [{"liquid_type": "water", "volume": 10.0}]},
),
_make_raw_resource(
id="Flask2", uuid="uuid-flask-2",
name="Flask2", klass="", type_="resource",
parent="StationA", parent_uuid="uuid-station-a",
data={"liquid": [{"liquid_type": "ethanol", "volume": 5.0}]},
),
]
def test_enrichment_preserves_children_structure(self):
"""验证 enrichment 后 children 为嵌套 dict"""
raw_data = self._make_tree_with_children()
enriched = _simulate_workstation_resource_enrichment(raw_data)
assert enriched["id"] == "StationA"
assert "children" in enriched
assert isinstance(enriched["children"], dict)
assert "Flask1" in enriched["children"]
assert "Flask2" in enriched["children"]
def test_children_preserve_uuid_and_data(self):
"""验证 children 中的 uuid 和 data 被正确保留"""
raw_data = self._make_tree_with_children()
enriched = _simulate_workstation_resource_enrichment(raw_data)
flask1 = enriched["children"]["Flask1"]
assert flask1["uuid"] == "uuid-flask-1"
assert flask1["data"]["liquid"][0]["liquid_type"] == "water"
assert flask1["data"]["liquid"][0]["volume"] == 10.0
flask2 = enriched["children"]["Flask2"]
assert flask2["uuid"] == "uuid-flask-2"
assert flask2["data"]["liquid"][0]["liquid_type"] == "ethanol"
def test_children_dict_can_be_popped(self):
"""模拟 batch_transfer_protocol 中 pop children 的操作"""
raw_data = self._make_tree_with_children()
enriched = _simulate_workstation_resource_enrichment(raw_data)
# batch_transfer_protocol 中会 pop children
children = enriched["children"]
popped = children.pop("Flask1")
assert popped["id"] == "Flask1"
assert "Flask1" not in enriched["children"]
assert "Flask2" in enriched["children"]
def test_children_dict_usable_as_from_repo(self):
"""模拟 batch_transfer_protocol 中 from_repo 参数"""
raw_data = self._make_tree_with_children()
enriched = _simulate_workstation_resource_enrichment(raw_data)
# 模拟编译器接收的 from_repo 格式
from_repo = {"StationA": enriched}
from_repo_ = list(from_repo.values())[0]
assert from_repo_["id"] == "StationA"
assert "Flask1" in from_repo_["children"]
assert from_repo_["children"]["Flask1"]["uuid"] == "uuid-flask-1"
def test_sequence_resource_enrichment(self):
"""sequence<Resource> 情况:多个独立资源树"""
raw_data1 = [_make_raw_resource(id="R1", uuid="uuid-r1")]
raw_data2 = [_make_raw_resource(id="R2", uuid="uuid-r2")]
tree_set1 = ResourceTreeSet.from_raw_dict_list(raw_data1)
tree_set2 = ResourceTreeSet.from_raw_dict_list(raw_data2)
results = [
tree.root_node.get_plr_nested_dict()
for ts in [tree_set1, tree_set2]
for tree in ts.trees
]
assert len(results) == 2
assert results[0]["id"] == "R1"
assert results[1]["id"] == "R2"
# ============ 全链路测试:动作列表结构验证 ============
class TestActionListStructure:
"""验证编译器返回的 action_list 结构符合 workstation 预期"""
def _validate_action(self, action):
"""验证单个 action dict 的结构"""
if action.get("action_name") == "wait":
# wait 伪动作不需要 device_id
assert "action_kwargs" in action
assert "time" in action["action_kwargs"]
return
if action.get("action_name") == "log_message":
# log 伪动作
assert "action_kwargs" in action
return
# 正常设备动作
assert "device_id" in action, f"action 缺少 device_id: {action}"
assert "action_name" in action, f"action 缺少 action_name: {action}"
assert "action_kwargs" in action, f"action 缺少 action_kwargs: {action}"
assert isinstance(action["action_kwargs"], dict)
def test_stir_action_list_structure(self):
from unilabos.compile.stir_protocol import generate_stir_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_stir_protocol(G=G, vessel=enriched, time="60")
for action in actions:
if isinstance(action, list):
# 并行动作
for sub_action in action:
self._validate_action(sub_action)
else:
self._validate_action(action)
def test_heatchill_action_list_structure(self):
from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_heat_chill_protocol(G=G, vessel=enriched, temp=80.0, time="60")
for action in actions:
if isinstance(action, list):
for sub_action in action:
self._validate_action(sub_action)
else:
self._validate_action(action)
def test_add_action_list_structure(self):
from unilabos.compile.add_protocol import generate_add_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_add_protocol(G=G, vessel=enriched, reagent="NaCl", mass="5 g")
for action in actions:
if isinstance(action, list):
for sub_action in action:
self._validate_action(sub_action)
else:
self._validate_action(action)
# ============ 全链路测试message_converter 到 enrichment ============
class TestMessageConverterToEnrichment:
"""模拟从 ROS 消息转换后的 dict 到 enrichment 的完整链路"""
def test_ros_goal_conversion_simulation(self):
"""
模拟 workstation.py 中的完整流程:
1. ROS goal 中的 vessel 字段被 convert_from_ros_msg 转换为浅层 dict
2. workstation 用 resource_id 请求 host 获取完整资源数据
3. ResourceTreeSet.from_raw_dict_list 构建资源树
4. get_plr_nested_dict 生成嵌套 dict 替换 protocol_kwargs[k]
"""
# 步骤1: 模拟 convert_from_ros_msg 的输出(浅层 dict只有 id 等基本字段)
shallow_vessel = {
"id": "reactor_01",
"uuid": "uuid-reactor-01",
"name": "reactor_01",
"type": "device",
"category": "virtual_stirrer",
"children": [],
"parent": "",
"parent_uuid": "",
"config": {},
"data": {},
"extra": {},
"position": {"x": 0.0, "y": 0.0, "z": 0.0},
}
protocol_kwargs = {
"vessel": shallow_vessel,
"time": "300",
"stir_speed": 300.0,
}
# 步骤2: 提取 resource_id
resource_id = protocol_kwargs["vessel"]["id"]
assert resource_id == "reactor_01"
# 步骤3: 模拟 host 返回完整数据(带 children
host_response = [
_make_raw_resource(
id="reactor_01", uuid="uuid-reactor-01",
klass="virtual_stirrer", type_="device",
data={"temperature": 25.0, "pressure": 1.0},
config={"max_temp": 300.0},
),
]
# 步骤4: enrichment
enriched = _simulate_workstation_resource_enrichment(host_response)
protocol_kwargs["vessel"] = enriched
# 验证 enrichment 后的 protocol_kwargs
assert protocol_kwargs["vessel"]["id"] == "reactor_01"
assert protocol_kwargs["vessel"]["uuid"] == "uuid-reactor-01"
assert protocol_kwargs["vessel"]["class"] == "virtual_stirrer"
assert protocol_kwargs["vessel"]["data"]["temperature"] == 25.0
assert protocol_kwargs["vessel"]["config"]["max_temp"] == 300.0
# 步骤5: 传给编译器
from unilabos.compile.stir_protocol import generate_stir_protocol
G = _build_test_graph()
actions = generate_stir_protocol(G=G, **protocol_kwargs)
assert len(actions) >= 1
assert actions[0]["device_id"] == "stirrer_1"
assert actions[0]["action_name"] == "stir"
def test_ros_goal_with_children_enrichment(self):
"""ROS goal → enrichment 带 children 的场景batch transfer"""
# 模拟 host 返回带 children 的数据
host_response = [
_make_raw_resource(
id="StationA", uuid="uuid-sa", klass="workstation", type_="device",
config={"num_items_x": 4, "num_items_y": 2},
),
_make_raw_resource(
id="Plate1", uuid="uuid-p1", type_="resource",
parent="StationA", parent_uuid="uuid-sa",
data={"sample": "sample_A"},
),
_make_raw_resource(
id="Plate2", uuid="uuid-p2", type_="resource",
parent="StationA", parent_uuid="uuid-sa",
data={"sample": "sample_B"},
),
]
enriched = _simulate_workstation_resource_enrichment(host_response)
assert enriched["id"] == "StationA"
assert enriched["class"] == "workstation"
assert len(enriched["children"]) == 2
assert enriched["children"]["Plate1"]["data"]["sample"] == "sample_A"
assert enriched["children"]["Plate2"]["uuid"] == "uuid-p2"
# 模拟 batch_transfer 的 from_repo 格式
from_repo = {"StationA": enriched}
from_repo_ = list(from_repo.values())[0]
assert "Plate1" in from_repo_["children"]
assert from_repo_["children"]["Plate1"]["uuid"] == "uuid-p1"
# ============ 全链路测试:多协议连续调用 ============
class TestMultiProtocolChain:
"""模拟连续执行多个协议(如 add → stir → heatchill"""
def test_sequential_protocol_execution(self):
"""模拟典型合成路径add → stir → heatchill"""
from unilabos.compile.stir_protocol import generate_stir_protocol
from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
from unilabos.compile.add_protocol import generate_add_protocol
raw_data = [_make_raw_resource(
id="reactor_01", uuid="uuid-reactor-01",
klass="virtual_stirrer", type_="device",
)]
enriched = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
# 每次调用用 enriched 的副本,避免编译器修改原数据
all_actions = []
# 步骤1: 添加试剂
add_actions = generate_add_protocol(
G=G, vessel=copy.deepcopy(enriched),
reagent="NaCl", mass="5 g",
)
all_actions.extend(add_actions)
# 步骤2: 搅拌
stir_actions = generate_stir_protocol(
G=G, vessel=copy.deepcopy(enriched),
time="60", stir_speed=300.0,
)
all_actions.extend(stir_actions)
# 步骤3: 加热
heat_actions = generate_heat_chill_protocol(
G=G, vessel=copy.deepcopy(enriched),
temp=80.0, time="300",
)
all_actions.extend(heat_actions)
# 验证总动作列表
assert len(all_actions) >= 3
# 每个协议至少产生一个核心动作
action_names = [a.get("action_name", "") for a in all_actions if isinstance(a, dict)]
assert "stir" in action_names
assert "heat_chill" in action_names
def test_enriched_resource_not_mutated(self):
"""验证编译器不应修改传入的 enriched dict如果需要修改应 deepcopy"""
from unilabos.compile.stir_protocol import generate_stir_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched = _simulate_workstation_resource_enrichment(raw_data)
original_id = enriched["id"]
original_uuid = enriched["uuid"]
G = _build_test_graph()
generate_stir_protocol(G=G, vessel=enriched, time="60")
# 验证 enriched dict 核心字段未被修改
assert enriched["id"] == original_id
assert enriched["uuid"] == original_uuid

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@@ -1,538 +0,0 @@
"""
PumpTransfer 和 Separate 全链路测试
构建包含泵/阀门/分液漏斗的完整设备图,
输出完整的中间数据(最短路径、泵骨架、动作列表等)。
"""
import copy
import json
import pprint
import pytest
import networkx as nx
from unilabos.resources.resource_tracker import ResourceTreeSet
from unilabos.compile.utils.resource_helper import get_resource_id, get_resource_data
from unilabos.compile.utils.vessel_parser import get_vessel
def _make_raw_resource(id, uuid=None, name=None, klass="", type_="device",
parent=None, parent_uuid=None, data=None, config=None, extra=None):
return {
"id": id,
"uuid": uuid or f"uuid-{id}",
"name": name or id,
"class": klass,
"type": type_,
"parent": parent,
"parent_uuid": parent_uuid or "",
"description": "",
"config": config or {},
"data": data or {},
"extra": extra or {},
"position": {"x": 0.0, "y": 0.0, "z": 0.0},
}
def _simulate_enrichment(raw_data_list):
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data_list)
root = tree_set.trees[0].root_node if tree_set.trees else None
return root.get_plr_nested_dict() if root else {}
def _build_pump_transfer_graph():
"""
构建带泵/阀门的设备图,用于测试 PumpTransfer:
flask_water (container)
valve_1 (multiway_valve, pump_1 连接)
reactor_01 (device)
同时有: stirrer_1, heatchill_1, separator_1
"""
G = nx.DiGraph()
# 源容器
G.add_node("flask_water", **{
"id": "flask_water", "name": "flask_water",
"type": "container", "class": "",
"data": {"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 200.0}]},
"config": {"reagent": "water"},
})
# 多通阀
G.add_node("valve_1", **{
"id": "valve_1", "name": "valve_1",
"type": "device", "class": "multiway_valve",
"data": {}, "config": {},
})
# 注射泵(连接到阀门)
G.add_node("pump_1", **{
"id": "pump_1", "name": "pump_1",
"type": "device", "class": "virtual_pump",
"data": {}, "config": {"max_volume": 25.0},
})
# 目标容器
G.add_node("reactor_01", **{
"id": "reactor_01", "name": "reactor_01",
"type": "device", "class": "virtual_stirrer",
"data": {"liquid": [{"liquid_type": "water", "volume": 50.0}]},
"config": {},
})
# 搅拌器
G.add_node("stirrer_1", **{
"id": "stirrer_1", "name": "stirrer_1",
"type": "device", "class": "virtual_stirrer",
"data": {}, "config": {},
})
# 加热器
G.add_node("heatchill_1", **{
"id": "heatchill_1", "name": "heatchill_1",
"type": "device", "class": "virtual_heatchill",
"data": {}, "config": {},
})
# 分离器
G.add_node("separator_1", **{
"id": "separator_1", "name": "separator_1",
"type": "device", "class": "separator_controller",
"data": {}, "config": {},
})
# 废液容器
G.add_node("waste_workup", **{
"id": "waste_workup", "name": "waste_workup",
"type": "container", "class": "",
"data": {}, "config": {},
})
# 产物收集瓶
G.add_node("product_flask", **{
"id": "product_flask", "name": "product_flask",
"type": "container", "class": "",
"data": {}, "config": {},
})
# DCM溶剂瓶
G.add_node("flask_dcm", **{
"id": "flask_dcm", "name": "flask_dcm",
"type": "container", "class": "",
"data": {"reagent_name": "dcm", "liquid": [{"liquid_type": "dcm", "volume": 500.0}]},
"config": {"reagent": "dcm"},
})
# 边连接 —— flask_water → valve_1 → reactor_01
G.add_edge("flask_water", "valve_1", port={"valve_1": "port_1"})
G.add_edge("valve_1", "reactor_01", port={"valve_1": "port_2"})
# 阀门 → 泵
G.add_edge("valve_1", "pump_1")
G.add_edge("pump_1", "valve_1")
# 搅拌器 ↔ reactor
G.add_edge("stirrer_1", "reactor_01")
# 加热器 ↔ reactor
G.add_edge("heatchill_1", "reactor_01")
# 分离器 ↔ reactor
G.add_edge("separator_1", "reactor_01")
G.add_edge("reactor_01", "separator_1")
# DCM → valve → reactor (同一泵路)
G.add_edge("flask_dcm", "valve_1", port={"valve_1": "port_3"})
# reactor → valve → product/waste
G.add_edge("valve_1", "product_flask", port={"valve_1": "port_4"})
G.add_edge("valve_1", "waste_workup", port={"valve_1": "port_5"})
return G
def _format_action(action, indent=0):
"""格式化单个 action 为可读字符串"""
prefix = " " * indent
if isinstance(action, list):
# 并行动作
lines = [f"{prefix}[PARALLEL]"]
for sub in action:
lines.append(_format_action(sub, indent + 1))
return "\n".join(lines)
name = action.get("action_name", "?")
device = action.get("device_id", "")
kwargs = action.get("action_kwargs", {})
comment = action.get("_comment", "")
meta = action.get("_transfer_meta", "")
parts = [f"{prefix}{device}::{name}"]
if kwargs:
# 精简输出
kw_str = ", ".join(f"{k}={v}" for k, v in kwargs.items()
if k not in ("progress_message",))
if kw_str:
parts.append(f" kwargs: {{{kw_str}}}")
if comment:
parts.append(f" # {comment}")
if meta:
parts.append(f" meta: {meta}")
return "\n".join(f"{prefix}{p}" if i > 0 else p for i, p in enumerate(parts))
def _dump_actions(actions, title=""):
"""打印完整动作列表"""
print(f"\n{'='*70}")
print(f" {title}")
print(f" 总动作数: {len(actions)}")
print(f"{'='*70}")
for i, action in enumerate(actions):
print(f"\n [{i:02d}] {_format_action(action, indent=2)}")
print(f"\n{'='*70}\n")
# ==================== PumpTransfer 全链路 ====================
class TestPumpTransferFullChain:
"""PumpTransfer: 包含图路径查找、泵骨架构建、动作序列生成"""
def test_pump_transfer_basic(self):
"""基础泵转移flask_water → valve_1 → reactor_01"""
from unilabos.compile.pump_protocol import generate_pump_protocol
G = _build_pump_transfer_graph()
# 检查最短路径
path = nx.shortest_path(G, "flask_water", "reactor_01")
print(f"\n最短路径: {path}")
assert "valve_1" in path
# 调用编译器
actions = generate_pump_protocol(
G=G,
from_vessel_id="flask_water",
to_vessel_id="reactor_01",
volume=10.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions, "PumpTransfer: flask_water → reactor_01, 10mL")
# 验证
assert isinstance(actions, list)
assert len(actions) > 0
# 应该有 set_valve_position 和 set_position 动作
flat = [a for a in actions if isinstance(a, dict)]
action_names = [a.get("action_name") for a in flat]
print(f"动作名称列表: {action_names}")
assert "set_valve_position" in action_names
assert "set_position" in action_names
def test_pump_transfer_with_rinsing_enriched_vessel(self):
"""pump_with_rinsing 接收 enriched vessel dict"""
from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
G = _build_pump_transfer_graph()
# 模拟 enrichment
from_raw = [_make_raw_resource(
id="flask_water", klass="", type_="container",
data={"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 200.0}]},
)]
to_raw = [_make_raw_resource(
id="reactor_01", klass="virtual_stirrer", type_="device",
)]
from_enriched = _simulate_enrichment(from_raw)
to_enriched = _simulate_enrichment(to_raw)
print(f"\nfrom_vessel enriched: {json.dumps(from_enriched, indent=2, ensure_ascii=False)[:300]}...")
print(f"to_vessel enriched: {json.dumps(to_enriched, indent=2, ensure_ascii=False)[:300]}...")
# get_vessel 兼容
fid, fdata = get_vessel(from_enriched)
tid, tdata = get_vessel(to_enriched)
print(f"from_vessel_id={fid}, to_vessel_id={tid}")
assert fid == "flask_water"
assert tid == "reactor_01"
actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=from_enriched,
to_vessel=to_enriched,
volume=15.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions, "PumpTransferWithRinsing: flask_water → reactor_01, 15mL (enriched)")
assert isinstance(actions, list)
assert len(actions) > 0
def test_pump_transfer_multi_batch(self):
"""体积 > max_volume 时自动分批"""
from unilabos.compile.pump_protocol import generate_pump_protocol
G = _build_pump_transfer_graph()
# pump_1 的 max_volume = 25mL转 60mL 应该分 3 批
actions = generate_pump_protocol(
G=G,
from_vessel_id="flask_water",
to_vessel_id="reactor_01",
volume=60.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions, "PumpTransfer 分批: 60mL (max_volume=25mL, 预期 3 批)")
assert len(actions) > 0
# 应该有多轮 set_position
flat = [a for a in actions if isinstance(a, dict)]
set_position_count = sum(1 for a in flat if a.get("action_name") == "set_position")
print(f"set_position 动作数: {set_position_count}")
# 3批 × 2次 (吸液 + 排液) = 6 次 set_position
assert set_position_count >= 6
def test_pump_transfer_no_path(self):
"""无路径时返回空"""
from unilabos.compile.pump_protocol import generate_pump_protocol
G = _build_pump_transfer_graph()
G.add_node("isolated_flask", type="container")
actions = generate_pump_protocol(
G=G,
from_vessel_id="isolated_flask",
to_vessel_id="reactor_01",
volume=10.0,
)
print(f"\n无路径时的动作列表: {actions}")
assert actions == []
def test_pump_backbone_filtering(self):
"""验证泵骨架过滤逻辑(电磁阀被跳过)"""
from unilabos.compile.pump_protocol import generate_pump_protocol
G = _build_pump_transfer_graph()
# 添加电磁阀到路径中
G.add_node("solenoid_valve_1", **{
"type": "device", "class": "solenoid_valve",
"data": {}, "config": {},
})
# flask_water → solenoid_valve_1 → valve_1 → reactor_01
G.remove_edge("flask_water", "valve_1")
G.add_edge("flask_water", "solenoid_valve_1")
G.add_edge("solenoid_valve_1", "valve_1")
path = nx.shortest_path(G, "flask_water", "reactor_01")
print(f"\n含电磁阀的路径: {path}")
assert "solenoid_valve_1" in path
actions = generate_pump_protocol(
G=G,
from_vessel_id="flask_water",
to_vessel_id="reactor_01",
volume=10.0,
)
_dump_actions(actions, "PumpTransfer 含电磁阀: flask_water → solenoid → valve_1 → reactor_01")
# 电磁阀应被跳过,泵骨架只有 valve_1
assert len(actions) > 0
# ==================== Separate 全链路 ====================
class TestSeparateProtocolFullChain:
"""Separate: 包含 bug 确认和正常路径测试"""
def test_separate_bug_line_128_fixed(self):
"""验证 separate_protocol.py:128 的 bug 已修复(不再 crash"""
from unilabos.compile.separate_protocol import generate_separate_protocol
G = _build_pump_transfer_graph()
raw_data = [_make_raw_resource(
id="reactor_01", klass="virtual_stirrer",
data={"liquid": [{"liquid_type": "water", "volume": 100.0}]},
)]
enriched = _simulate_enrichment(raw_data)
# 修复前final_vessel_id, _ = vessel_id 会 crash字符串解包
# 修复后final_vessel_id = vessel_id正常返回 action 列表
result = generate_separate_protocol(
G=G,
vessel=enriched,
purpose="extract",
product_phase="top",
product_vessel="product_flask",
waste_vessel="waste_workup",
solvent="dcm",
volume="100 mL",
)
assert isinstance(result, list)
assert len(result) > 0
def test_separate_manual_workaround(self):
"""
绕过 line 128 bug手动测试分离编译器中可以工作的子函数
"""
from unilabos.compile.separate_protocol import (
find_separator_device,
find_separation_vessel_bottom,
)
from unilabos.compile.utils.vessel_parser import (
find_connected_stirrer,
find_solvent_vessel,
)
from unilabos.compile.utils.unit_parser import parse_volume_input
from unilabos.compile.utils.resource_helper import get_resource_liquid_volume as get_vessel_liquid_volume
G = _build_pump_transfer_graph()
# 1. get_vessel 解析 enriched dict
raw_data = [_make_raw_resource(
id="reactor_01", klass="virtual_stirrer",
data={"liquid": [{"liquid_type": "water", "volume": 100.0}]},
)]
enriched = _simulate_enrichment(raw_data)
vessel_id, vessel_data = get_vessel(enriched)
print(f"\nvessel_id: {vessel_id}")
print(f"vessel_data: {vessel_data}")
assert vessel_id == "reactor_01"
assert vessel_data["liquid"][0]["volume"] == 100.0
# 2. find_separator_device
sep = find_separator_device(G, vessel_id)
print(f"分离器设备: {sep}")
assert sep == "separator_1"
# 3. find_connected_stirrer
stirrer = find_connected_stirrer(G, vessel_id)
print(f"搅拌器设备: {stirrer}")
assert stirrer == "stirrer_1"
# 4. find_solvent_vessel
solvent_v = find_solvent_vessel(G, "dcm")
print(f"DCM溶剂容器: {solvent_v}")
assert solvent_v == "flask_dcm"
# 5. parse_volume_input
vol = parse_volume_input("200 mL")
print(f"体积解析: '200 mL'{vol}")
assert vol == 200.0
vol2 = parse_volume_input("1.5 L")
print(f"体积解析: '1.5 L'{vol2}")
assert vol2 == 1500.0
# 6. get_vessel_liquid_volume
liq_vol = get_vessel_liquid_volume(enriched)
print(f"液体体积 (enriched dict): {liq_vol}")
assert liq_vol == 100.0
# 7. find_separation_vessel_bottom
bottom = find_separation_vessel_bottom(G, vessel_id)
print(f"分离容器底部: {bottom}")
# 当前图中没有命名匹配的底部容器
def test_pump_transfer_for_separate_subflow(self):
"""测试 separate 中调用的 pump 子流程(溶剂添加 → 分液漏斗)"""
from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
G = _build_pump_transfer_graph()
# 模拟分离前的溶剂添加步骤
actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel="flask_dcm",
to_vessel="reactor_01",
volume=100.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions, "Separate 子流程: flask_dcm → reactor_01, 100mL DCM")
assert isinstance(actions, list)
assert len(actions) > 0
# 模拟分离后产物转移
actions2 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel="reactor_01",
to_vessel="product_flask",
volume=50.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions2, "Separate 子流程: reactor_01 → product_flask, 50mL 产物")
assert len(actions2) > 0
# 废液转移
actions3 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel="reactor_01",
to_vessel="waste_workup",
volume=50.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions3, "Separate 子流程: reactor_01 → waste_workup, 50mL 废液")
assert len(actions3) > 0
# ==================== 图路径可视化 ====================
class TestGraphPathVisualization:
"""输出图中关键路径信息"""
def test_all_shortest_paths(self):
"""输出所有容器之间的最短路径"""
G = _build_pump_transfer_graph()
containers = [n for n in G.nodes() if G.nodes[n].get("type") == "container"]
devices = [n for n in G.nodes() if G.nodes[n].get("type") == "device"]
print(f"\n{'='*70}")
print(f" 设备图概览")
print(f"{'='*70}")
print(f" 容器节点 ({len(containers)}): {containers}")
print(f" 设备节点 ({len(devices)}): {devices}")
print(f" 边数: {G.number_of_edges()}")
print(f" 边列表:")
for u, v, data in G.edges(data=True):
port_info = data.get("port", "")
print(f" {u}{v} {port_info if port_info else ''}")
print(f"\n 关键路径:")
pairs = [
("flask_water", "reactor_01"),
("flask_dcm", "reactor_01"),
("reactor_01", "product_flask"),
("reactor_01", "waste_workup"),
("flask_water", "product_flask"),
]
for src, dst in pairs:
try:
path = nx.shortest_path(G, src, dst)
length = len(path) - 1
# 标注路径上的节点类型
annotated = []
for n in path:
ntype = G.nodes[n].get("type", "?")
nclass = G.nodes[n].get("class", "")
annotated.append(f"{n}({ntype}{'/' + nclass if nclass else ''})")
print(f" {src}{dst}: 距离={length}")
print(f" 路径: {''.join(annotated)}")
except nx.NetworkXNoPath:
print(f" {src}{dst}: 无路径!")
print(f"{'='*70}\n")

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@@ -1,324 +0,0 @@
"""
ROS Goal → Resource 转换 → 编译器路径的集成测试
覆盖:
1. Resource.msg 新字段(uuid, klass, extra)的往返转换
2. dict → ROS Resource → dict 往返无损
3. ResourceTreeSet → get_plr_nested_dict 保留 children 结构
4. resource_helper 兼容 dict / ResourceDictInstance
5. vessel_parser.get_vessel 兼容 ResourceDictInstance
"""
import json
import pytest
# 不依赖 ROS 的测试 —— 直接测试 resource 处理路径
from unilabos.resources.resource_tracker import (
ResourceDict,
ResourceDictInstance,
ResourceTreeInstance,
ResourceTreeSet,
)
from unilabos.compile.utils.resource_helper import (
ensure_resource_instance,
resource_to_dict,
get_resource_id,
get_resource_data,
get_resource_display_info,
get_resource_liquid_volume,
)
from unilabos.compile.utils.vessel_parser import get_vessel
# ============ 构建测试数据 ============
def _make_resource_dict(
id="reactor_01",
uuid="uuid-reactor-01",
name="reactor_01",
klass="virtual_stirrer",
type_="device",
parent=None,
parent_uuid=None,
data=None,
config=None,
extra=None,
):
return {
"id": id,
"uuid": uuid,
"name": name,
"class": klass,
"type": type_,
"parent": parent,
"parent_uuid": parent_uuid or "",
"description": "",
"config": config or {},
"data": data or {},
"extra": extra or {},
"position": {"x": 1.0, "y": 2.0, "z": 3.0},
}
def _make_resource_instance(id="reactor_01", **kwargs):
d = _make_resource_dict(id=id, **kwargs)
return ResourceDictInstance.get_resource_instance_from_dict(d)
def _make_tree_with_children():
"""构建 StationA -> [R1, R2] 的资源树"""
raw_data = [
_make_resource_dict(
id="StationA",
uuid="uuid-station-a",
name="StationA",
klass="workstation",
type_="device",
),
_make_resource_dict(
id="R1",
uuid="uuid-r1",
name="R1",
klass="",
type_="resource",
parent="StationA",
parent_uuid="uuid-station-a",
data={"liquid": [{"liquid_type": "water", "volume": 10.0}]},
),
_make_resource_dict(
id="R2",
uuid="uuid-r2",
name="R2",
klass="",
type_="resource",
parent="StationA",
parent_uuid="uuid-station-a",
data={"liquid": [{"liquid_type": "ethanol", "volume": 5.0}]},
),
]
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
return tree_set
# ============ resource_helper 测试 ============
class TestResourceHelper:
"""测试 resource_helper 对 dict / ResourceDictInstance 的兼容性"""
def test_ensure_resource_instance_from_dict(self):
d = _make_resource_dict()
inst = ensure_resource_instance(d)
assert isinstance(inst, ResourceDictInstance)
assert inst.res_content.id == "reactor_01"
assert inst.res_content.uuid == "uuid-reactor-01"
def test_ensure_resource_instance_passthrough(self):
inst = _make_resource_instance()
result = ensure_resource_instance(inst)
assert result is inst # 同一个对象,不复制
def test_ensure_resource_instance_none(self):
assert ensure_resource_instance(None) is None
def test_get_resource_id_from_dict(self):
d = _make_resource_dict(id="my_device")
assert get_resource_id(d) == "my_device"
def test_get_resource_id_from_instance(self):
inst = _make_resource_instance(id="my_device")
assert get_resource_id(inst) == "my_device"
def test_get_resource_id_from_string(self):
assert get_resource_id("my_device") == "my_device"
def test_get_resource_id_from_wrapped_dict(self):
"""兼容 {station_id: {...}} 格式"""
d = {"StationA": {"id": "StationA", "name": "StationA"}}
assert get_resource_id(d) == "StationA"
def test_get_resource_data_from_dict(self):
d = _make_resource_dict(data={"temperature": 25.0})
assert get_resource_data(d) == {"temperature": 25.0}
def test_get_resource_data_from_instance(self):
inst = _make_resource_instance(data={"temperature": 25.0})
data = get_resource_data(inst)
assert data["temperature"] == 25.0
def test_get_resource_display_info_from_dict(self):
d = _make_resource_dict(id="reactor_01", name="Reactor #1")
info = get_resource_display_info(d)
assert "reactor_01" in info
assert "Reactor #1" in info
def test_get_resource_display_info_from_instance(self):
inst = _make_resource_instance(id="reactor_01", name="Reactor #1")
info = get_resource_display_info(inst)
assert "reactor_01" in info
def test_get_resource_display_info_from_string(self):
assert get_resource_display_info("reactor_01") == "reactor_01"
def test_get_resource_liquid_volume(self):
d = _make_resource_dict(data={"liquid": [{"liquid_type": "water", "volume": 15.5}]})
assert get_resource_liquid_volume(d) == pytest.approx(15.5)
def test_resource_to_dict_from_instance(self):
inst = _make_resource_instance(id="reactor_01", klass="virtual_stirrer")
d = resource_to_dict(inst)
assert isinstance(d, dict)
assert d["id"] == "reactor_01"
assert d["class"] == "virtual_stirrer"
def test_resource_to_dict_passthrough(self):
d = _make_resource_dict()
result = resource_to_dict(d)
assert result is d # 同一个 dict
# ============ vessel_parser 兼容性测试 ============
class TestVesselParser:
"""测试 vessel_parser.get_vessel 对 ResourceDictInstance 的兼容"""
def test_get_vessel_from_dict(self):
d = _make_resource_dict(id="reactor_01", data={"temperature": 25.0})
vessel_id, vessel_data = get_vessel(d)
assert vessel_id == "reactor_01"
assert vessel_data["temperature"] == 25.0
def test_get_vessel_from_string(self):
vessel_id, vessel_data = get_vessel("reactor_01")
assert vessel_id == "reactor_01"
assert vessel_data == {}
def test_get_vessel_from_resource_instance(self):
inst = _make_resource_instance(id="reactor_01", data={"temperature": 25.0})
vessel_id, vessel_data = get_vessel(inst)
assert vessel_id == "reactor_01"
assert vessel_data["temperature"] == 25.0
def test_get_vessel_from_wrapped_dict(self):
"""兼容 {station_id: {id: ..., data: {...}}} 格式"""
d = {"StationA": {"id": "StationA", "data": {"vol": 100}}}
vessel_id, vessel_data = get_vessel(d)
assert vessel_id == "StationA"
# ============ ResourceTreeSet → get_plr_nested_dict 测试 ============
class TestResourceTreeRoundTrip:
"""测试 ResourceTreeSet → get_plr_nested_dict 保留树结构和关键字段"""
def test_tree_preserves_children(self):
tree_set = _make_tree_with_children()
assert len(tree_set.trees) == 1
root = tree_set.trees[0].root_node
assert root.res_content.id == "StationA"
assert len(root.children) == 2
def test_plr_nested_dict_has_children(self):
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
assert isinstance(nested, dict)
assert "children" in nested
assert isinstance(nested["children"], dict)
assert "R1" in nested["children"]
assert "R2" in nested["children"]
def test_plr_nested_dict_preserves_uuid(self):
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
assert nested["uuid"] == "uuid-station-a"
assert nested["children"]["R1"]["uuid"] == "uuid-r1"
def test_plr_nested_dict_preserves_klass(self):
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
assert nested["class"] == "workstation"
def test_plr_nested_dict_preserves_data(self):
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
r1_data = nested["children"]["R1"]["data"]
assert "liquid" in r1_data
assert r1_data["liquid"][0]["volume"] == 10.0
def test_plr_nested_dict_usable_by_get_vessel(self):
"""get_plr_nested_dict 的结果可以直接传给 get_vessel"""
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
vessel_id, vessel_data = get_vessel(nested)
assert vessel_id == "StationA"
def test_dump_vs_plr_nested_dict(self):
"""dump() 是扁平化的get_plr_nested_dict 保留树结构"""
tree_set = _make_tree_with_children()
# dump 返回扁平列表
dumped = tree_set.dump()
assert isinstance(dumped[0], list)
assert len(dumped[0]) == 3 # StationA + R1 + R2全部扁平
# get_plr_nested_dict 保留嵌套
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
assert isinstance(nested["children"], dict)
assert len(nested["children"]) == 2 # 嵌套的 children
# ============ 模拟 workstation 路径测试 ============
class TestWorkstationPath:
"""模拟 workstation.py 中的关键路径:
raw_data → ResourceTreeSet.from_raw_dict_list → get_plr_nested_dict → compiler
"""
def test_single_resource_path(self):
"""单个 Resource: 取第一棵树的根节点"""
raw_data = [
_make_resource_dict(id="reactor_01", uuid="uuid-r01", klass="virtual_stirrer"),
]
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
root = tree_set.trees[0].root_node
result = root.get_plr_nested_dict()
assert result["id"] == "reactor_01"
assert result["uuid"] == "uuid-r01"
assert result["class"] == "virtual_stirrer"
def test_resource_with_children_path(self):
"""Resource 带 children: AGV/batch transfer 场景"""
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
# 模拟编译器接收到的参数
from_repo = {"StationA": nested}
assert "A01" not in from_repo["StationA"]["children"] # children 按 id 索引
assert "R1" in from_repo["StationA"]["children"]
assert from_repo["StationA"]["children"]["R1"]["uuid"] == "uuid-r1"
def test_multiple_resource_path(self):
"""多个 Resource: 每棵树取根节点"""
raw_data1 = [_make_resource_dict(id="R1", uuid="uuid-r1")]
raw_data2 = [_make_resource_dict(id="R2", uuid="uuid-r2")]
# 模拟 host 返回多棵树
tree_set1 = ResourceTreeSet.from_raw_dict_list(raw_data1)
tree_set2 = ResourceTreeSet.from_raw_dict_list(raw_data2)
results = [
tree.root_node.get_plr_nested_dict()
for ts in [tree_set1, tree_set2]
for tree in ts.trees
]
assert len(results) == 2
assert results[0]["id"] == "R1"
assert results[1]["id"] == "R2"

View File

@@ -1,137 +0,0 @@
"""
AGVTransportStation driver 测试
覆盖初始化、carrier property、slot 查询、路由查询、capacity 计算。
"""
import pytest
from unittest.mock import MagicMock, patch
from unilabos.devices.transport.agv_workstation import AGVTransportStation
from unilabos.resources.warehouse import WareHouse, warehouse_factory
class TestAGVTransportStation:
def _make_driver(self, route_table=None, device_roles=None):
"""创建一个 AGVTransportStation 实例"""
return AGVTransportStation(
deck=None,
route_table=route_table or {
"A->B": {"nav_command": '{"target":"LM1"}', "arm_pick": "pick.urp", "arm_place": "place.urp"}
},
device_roles=device_roles or {"navigator": "agv_nav", "arm": "agv_arm"},
)
def _make_warehouse(self, name="agv_platform", nx=2, ny=1, nz=1):
"""创建一个测试用 Warehouse"""
return warehouse_factory(name=name, num_items_x=nx, num_items_y=ny, num_items_z=nz)
def test_init_deck_none(self):
"""AGVTransportStation 初始化时 deck=None"""
driver = self._make_driver()
assert driver.deck is None
def test_init_route_table(self):
"""路由表正确存储"""
driver = self._make_driver()
assert "A->B" in driver.route_table
def test_init_device_roles(self):
"""设备角色正确存储"""
driver = self._make_driver()
assert driver.device_roles["navigator"] == "agv_nav"
assert driver.device_roles["arm"] == "agv_arm"
def test_carrier_without_ros_node(self):
"""未 post_init 时 carrier 返回 None"""
driver = self._make_driver()
assert driver.carrier is None
def test_carrier_with_warehouse(self):
"""post_init 后 carrier 返回正确的 WareHouse"""
driver = self._make_driver()
wh = self._make_warehouse()
# 模拟 ros_node 和 resource_tracker
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
assert driver.carrier is wh
assert isinstance(driver.carrier, WareHouse)
def test_capacity(self):
"""容量计算正确"""
driver = self._make_driver()
wh = self._make_warehouse(nx=2, ny=1, nz=1)
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
assert driver.capacity == 2
def test_capacity_multi_layer(self):
"""多层 Warehouse 容量"""
driver = self._make_driver()
wh = self._make_warehouse(nx=1, ny=2, nz=3)
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
assert driver.capacity == 6
def test_capacity_no_carrier(self):
"""无 carrier 时容量为 0"""
driver = self._make_driver()
assert driver.capacity == 0
def test_free_slots(self):
"""空载时所有 slot 为空闲"""
driver = self._make_driver()
wh = self._make_warehouse(nx=2, ny=1, nz=1)
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
free = driver.free_slots
assert len(free) == 2
def test_occupied_slots_empty(self):
"""空载时 occupied_slots 为空"""
driver = self._make_driver()
wh = self._make_warehouse(nx=2, ny=1, nz=1)
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
assert len(driver.occupied_slots) == 0
def test_resolve_route(self):
"""路由查询返回正确的指令"""
driver = self._make_driver()
route = driver.resolve_route("A", "B")
assert route["nav_command"] == '{"target":"LM1"}'
assert route["arm_pick"] == "pick.urp"
def test_resolve_route_not_found(self):
"""查询不存在的路线时抛出 KeyError"""
driver = self._make_driver()
with pytest.raises(KeyError, match="路由表"):
driver.resolve_route("X", "Y")
def test_get_device_id(self):
"""获取子设备 ID"""
driver = self._make_driver()
assert driver.get_device_id("navigator") == "agv_nav"
assert driver.get_device_id("arm") == "agv_arm"
def test_get_device_id_not_found(self):
"""获取不存在的角色时抛出 KeyError"""
driver = self._make_driver()
with pytest.raises(KeyError, match="未配置设备角色"):
driver.get_device_id("gripper")

View File

@@ -1 +1 @@
__version__ = "0.10.19"
__version__ = "0.11.1"

View File

@@ -12,6 +12,15 @@ from typing import Dict, Any, List
import networkx as nx
import yaml
# Windows 中文系统 stdout 默认 GBK无法编码 banner / emoji 日志中的 Unicode 字符
# 强制 stdout/stderr 用 UTF-8避免 print 触发 UnicodeEncodeError 导致进程崩溃
if sys.platform == "win32":
for _stream in (sys.stdout, sys.stderr):
try:
_stream.reconfigure(encoding="utf-8", errors="replace") # type: ignore[attr-defined]
except (AttributeError, OSError):
pass
# 首先添加项目根目录到路径
current_dir = os.path.dirname(os.path.abspath(__file__))
unilabos_dir = os.path.dirname(os.path.dirname(current_dir))
@@ -233,7 +242,7 @@ def parse_args():
parser.add_argument(
"--addr",
type=str,
default="https://uni-lab.bohrium.com/api/v1",
default="https://leap-lab.bohrium.com/api/v1",
help="Laboratory backend address",
)
parser.add_argument(
@@ -438,10 +447,10 @@ def main():
if args.addr != parser.get_default("addr"):
if args.addr == "test":
print_status("使用测试环境地址", "info")
HTTPConfig.remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
HTTPConfig.remote_addr = "https://leap-lab.test.bohrium.com/api/v1"
elif args.addr == "uat":
print_status("使用uat环境地址", "info")
HTTPConfig.remote_addr = "https://uni-lab.uat.bohrium.com/api/v1"
HTTPConfig.remote_addr = "https://leap-lab.uat.bohrium.com/api/v1"
elif args.addr == "local":
print_status("使用本地环境地址", "info")
HTTPConfig.remote_addr = "http://127.0.0.1:48197/api/v1"
@@ -553,13 +562,8 @@ def main():
os._exit(0)
if not BasicConfig.ak or not BasicConfig.sk:
if BasicConfig.test_mode:
print_status("测试模式:跳过 ak/sk 检查,使用占位凭据", "warning")
BasicConfig.ak = BasicConfig.ak or "test_ak"
BasicConfig.sk = BasicConfig.sk or "test_sk"
else:
print_status("后续运行必须拥有一个实验室,请前往 https://uni-lab.bohrium.com 注册实验室!", "warning")
os._exit(1)
print_status("后续运行必须拥有一个实验室,请前往 https://leap-lab.bohrium.com 注册实验室!", "warning")
os._exit(1)
graph: nx.Graph
resource_tree_set: ResourceTreeSet
resource_links: List[Dict[str, Any]]

View File

@@ -36,6 +36,9 @@ class HTTPClient:
auth_secret = BasicConfig.auth_secret()
self.auth = auth_secret
info(f"正在使用ak sk作为授权信息[{auth_secret}]")
# 复用 TCP/TLS 连接,避免每次请求重新握手
self._session = requests.Session()
self._session.headers.update({"Authorization": f"Lab {self.auth}"})
info(f"HTTPClient 初始化完成: remote_addr={self.remote_addr}")
def resource_edge_add(self, resources: List[Dict[str, Any]]) -> requests.Response:
@@ -48,7 +51,7 @@ class HTTPClient:
Returns:
Response: API响应对象
"""
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/edge/material/edge",
json={
"edges": resources,
@@ -75,25 +78,28 @@ class HTTPClient:
Returns:
Dict[str, str]: 旧UUID到新UUID的映射关系 {old_uuid: new_uuid}
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "w", encoding="utf-8") as f:
payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
f.write(json.dumps(payload, indent=4))
# 从序列化数据中提取所有节点的UUID保存旧UUID
# dump() 只调用一次,复用给文件保存和 HTTP 请求
nodes_info = [x for xs in resources.dump() for x in xs]
old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
payload = {"nodes": nodes_info, "mount_uuid": mount_uuid}
body_bytes = _fast_dumps(payload)
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "wb") as f:
f.write(_fast_dumps_pretty(payload))
http_headers = {"Content-Type": "application/json"}
if not self.initialized or first_add:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/edge/material",
json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
headers={"Authorization": f"Lab {self.auth}"},
data=body_bytes,
headers=http_headers,
timeout=60,
)
else:
response = requests.put(
response = self._session.put(
f"{self.remote_addr}/edge/material",
json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
headers={"Authorization": f"Lab {self.auth}"},
data=body_bytes,
headers=http_headers,
timeout=10,
)
@@ -111,6 +117,7 @@ class HTTPClient:
uuid_mapping[i["uuid"]] = i["cloud_uuid"]
else:
logger.error(f"添加物料失败: {response.text}")
logger.trace(f"添加物料失败: {nodes_info}")
for u, n in old_uuids.items():
if u in uuid_mapping:
n.res_content.uuid = uuid_mapping[u]
@@ -131,7 +138,7 @@ class HTTPClient:
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_get.json"), "w", encoding="utf-8") as f:
f.write(json.dumps({"uuids": uuid_list, "with_children": with_children}, indent=4))
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/edge/material/query",
json={"uuids": uuid_list, "with_children": with_children},
headers={"Authorization": f"Lab {self.auth}"},
@@ -145,6 +152,7 @@ class HTTPClient:
logger.error(f"查询物料失败: {response.text}")
else:
data = res["data"]["nodes"]
logger.trace(f"resource_tree_get查询到物料: {data}")
return data
else:
logger.error(f"查询物料失败: {response.text}")
@@ -162,14 +170,14 @@ class HTTPClient:
if not self.initialized:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
timeout=100,
)
else:
response = requests.put(
response = self._session.put(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
@@ -196,7 +204,7 @@ class HTTPClient:
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_get.json"), "w", encoding="utf-8") as f:
f.write(json.dumps({"id": id, "with_children": with_children}, indent=4))
response = requests.get(
response = self._session.get(
f"{self.remote_addr}/lab/material",
params={"id": id, "with_children": with_children},
headers={"Authorization": f"Lab {self.auth}"},
@@ -237,14 +245,14 @@ class HTTPClient:
if not self.initialized:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
timeout=100,
)
else:
response = requests.put(
response = self._session.put(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
@@ -274,7 +282,7 @@ class HTTPClient:
with open(file_path, "rb") as file:
files = {"files": file}
logger.info(f"上传文件: {file_path}{scene}")
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/api/account/file_upload/{scene}",
files=files,
headers={"Authorization": f"Lab {self.auth}"},
@@ -314,7 +322,7 @@ class HTTPClient:
"Content-Type": "application/json",
"Content-Encoding": "gzip",
}
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/lab/resource",
data=compressed_body,
headers=headers,
@@ -348,7 +356,7 @@ class HTTPClient:
Returns:
Response: API响应对象
"""
response = requests.get(
response = self._session.get(
f"{self.remote_addr}/edge/material/download",
headers={"Authorization": f"Lab {self.auth}"},
timeout=(3, 30),
@@ -409,7 +417,7 @@ class HTTPClient:
with open(os.path.join(BasicConfig.working_dir, "req_workflow_upload.json"), "w", encoding="utf-8") as f:
f.write(json.dumps(payload, indent=4, ensure_ascii=False))
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/lab/workflow/owner/import",
json=payload,
headers={"Authorization": f"Lab {self.auth}"},

View File

@@ -1113,7 +1113,7 @@ class MessageProcessor:
"task_id": task_id,
"job_id": job_id,
"free": free,
"need_more": need_more,
"need_more": need_more + 1,
},
}
@@ -1253,7 +1253,7 @@ class QueueProcessor:
"task_id": job_info.task_id,
"job_id": job_info.job_id,
"free": False,
"need_more": 10,
"need_more": 10 + 1,
},
}
self.message_processor.send_message(message)
@@ -1269,7 +1269,13 @@ class QueueProcessor:
if not queued_jobs:
return
logger.debug(f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs")
queue_summary = {}
for j in queued_jobs:
key = f"{j.device_id}/{j.action_name}"
queue_summary[key] = queue_summary.get(key, 0) + 1
logger.debug(
f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs: {queue_summary}"
)
for job_info in queued_jobs:
# 快照可能已过期:在遍历过程中 end_job() 可能已将此 job 移至 READY
@@ -1286,7 +1292,7 @@ class QueueProcessor:
"task_id": job_info.task_id,
"job_id": job_info.job_id,
"free": False,
"need_more": 10,
"need_more": 10 + 1,
},
}
success = self.message_processor.send_message(message)
@@ -1369,6 +1375,10 @@ class WebSocketClient(BaseCommunicationClient):
self.message_processor = MessageProcessor(self.websocket_url, self.send_queue, self.device_manager)
self.queue_processor = QueueProcessor(self.device_manager, self.message_processor)
# running状态debounce缓存: {job_id: (last_send_timestamp, last_feedback_data)}
self._job_running_last_sent: Dict[str, tuple] = {}
self._job_running_debounce_interval: float = 10.0 # 秒
# 设置相互引用
self.message_processor.set_queue_processor(self.queue_processor)
self.message_processor.set_websocket_client(self)
@@ -1468,22 +1478,32 @@ class WebSocketClient(BaseCommunicationClient):
logger.debug(f"[WebSocketClient] Not connected, cannot publish job status for job_id: {item.job_id}")
return
job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
# 拦截最终结果状态,与原版本逻辑一致
if status in ["success", "failed"]:
self._job_running_last_sent.pop(item.job_id, None)
host_node = HostNode.get_instance(0)
if host_node:
# 从HostNode的device_action_status中移除job_id
try:
host_node._device_action_status[item.device_action_key].job_ids.pop(item.job_id, None)
except (KeyError, AttributeError):
logger.warning(f"[WebSocketClient] Failed to remove job {item.job_id} from HostNode status")
# logger.debug(f"[WebSocketClient] Intercepting final status for job_id: {item.job_id} - {status}")
# 通知队列处理器job完成包括timeout的job
self.queue_processor.handle_job_completed(item.job_id, status)
# 发送job状态消息
# running状态按job_id做debounce内容变化时仍然上报
if status == "running":
now = time.time()
cached = self._job_running_last_sent.get(item.job_id)
if cached is not None:
last_ts, last_data = cached
if now - last_ts < self._job_running_debounce_interval and last_data == feedback_data:
logger.trace(f"[WebSocketClient] Job status debounced (skip): {job_log} - {status}")
return
self._job_running_last_sent[item.job_id] = (now, feedback_data)
message = {
"action": "job_status",
"data": {
@@ -1499,7 +1519,6 @@ class WebSocketClient(BaseCommunicationClient):
}
self.message_processor.send_message(message)
job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
logger.trace(f"[WebSocketClient] Job status published: {job_log} - {status}")
def send_ping(self, ping_id: str, timestamp: float) -> None:

View File

@@ -5,7 +5,6 @@ from .separate_protocol import generate_separate_protocol
from .evaporate_protocol import generate_evaporate_protocol
from .evacuateandrefill_protocol import generate_evacuateandrefill_protocol
from .agv_transfer_protocol import generate_agv_transfer_protocol
from .batch_transfer_protocol import generate_batch_transfer_protocol
from .add_protocol import generate_add_protocol
from .centrifuge_protocol import generate_centrifuge_protocol
from .filter_protocol import generate_filter_protocol
@@ -32,7 +31,6 @@ from .hydrogenate_protocol import generate_hydrogenate_protocol
action_protocol_generators = {
AddProtocol: generate_add_protocol,
AGVTransferProtocol: generate_agv_transfer_protocol,
BatchTransferProtocol: generate_batch_transfer_protocol,
AdjustPHProtocol: generate_adjust_ph_protocol,
CentrifugeProtocol: generate_centrifuge_protocol,
CleanProtocol: generate_clean_protocol,

View File

@@ -1,127 +0,0 @@
"""
AGV 编译器共用工具函数
从 physical_setup_graph 中发现 AGV 节点配置,
供 agv_transfer_protocol 和 batch_transfer_protocol 复用。
"""
from typing import Any, Dict, List, Optional
import networkx as nx
def find_agv_config(G: nx.Graph, agv_id: Optional[str] = None) -> Dict[str, Any]:
"""从设备图中发现 AGV 节点,返回其配置
查找策略:
1. 如果指定 agv_id直接读取该节点
2. 否则查找 class 为 "agv_transport_station" 的节点
3. 兜底查找 config 中包含 device_roles 的 workstation 节点
Returns:
{
"agv_id": str,
"device_roles": {"navigator": "...", "arm": "..."},
"route_table": {"A->B": {"nav_command": ..., "arm_pick": ..., "arm_place": ...}},
"capacity": int,
}
"""
if agv_id and agv_id in G.nodes:
node_data = G.nodes[agv_id]
config = _extract_config(node_data)
if config and "device_roles" in config:
return _build_agv_cfg(agv_id, config, G)
# 查找 agv_transport_station 类型
for nid, ndata in G.nodes(data=True):
node_class = _get_node_class(ndata)
if node_class == "agv_transport_station":
config = _extract_config(ndata)
return _build_agv_cfg(nid, config or {}, G)
# 兜底:查找带有 device_roles 的 workstation
for nid, ndata in G.nodes(data=True):
node_class = _get_node_class(ndata)
if node_class == "workstation":
config = _extract_config(ndata)
if config and "device_roles" in config:
return _build_agv_cfg(nid, config, G)
raise ValueError("设备图中未找到 AGV 节点(需 class=agv_transport_station 或 config.device_roles")
def get_agv_capacity(G: nx.Graph, agv_id: str) -> int:
"""从 AGV 的 Warehouse 子节点计算载具容量"""
for neighbor in G.successors(agv_id) if G.is_directed() else G.neighbors(agv_id):
ndata = G.nodes[neighbor]
node_type = _get_node_type(ndata)
if node_type == "warehouse":
config = _extract_config(ndata)
if config:
x = config.get("num_items_x", 1)
y = config.get("num_items_y", 1)
z = config.get("num_items_z", 1)
return x * y * z
# 如果没有 warehouse 子节点,尝试从配置中读取
return 0
def split_batches(items: list, capacity: int) -> List[list]:
"""按 AGV 容量分批
Args:
items: 待转运的物料列表
capacity: AGV 单批次容量
Returns:
分批后的列表的列表
"""
if capacity <= 0:
raise ValueError(f"AGV 容量必须 > 0当前: {capacity}")
return [items[i:i + capacity] for i in range(0, len(items), capacity)]
def _extract_config(node_data: dict) -> Optional[dict]:
"""从节点数据中提取 config 字段,兼容多种格式"""
# 直接 config 字段
config = node_data.get("config")
if isinstance(config, dict):
return config
# res_content 嵌套格式
res_content = node_data.get("res_content")
if hasattr(res_content, "config"):
return res_content.config if isinstance(res_content.config, dict) else None
if isinstance(res_content, dict):
return res_content.get("config")
return None
def _get_node_class(node_data: dict) -> str:
"""获取节点的 class 字段"""
res_content = node_data.get("res_content")
if hasattr(res_content, "model_dump"):
d = res_content.model_dump()
return d.get("class_", d.get("class", ""))
if isinstance(res_content, dict):
return res_content.get("class_", res_content.get("class", ""))
return node_data.get("class_", node_data.get("class", ""))
def _get_node_type(node_data: dict) -> str:
"""获取节点的 type 字段"""
res_content = node_data.get("res_content")
if hasattr(res_content, "type"):
return res_content.type or ""
if isinstance(res_content, dict):
return res_content.get("type", "")
return node_data.get("type", "")
def _build_agv_cfg(agv_id: str, config: dict, G: nx.Graph) -> Dict[str, Any]:
"""构建标准化的 AGV 配置"""
return {
"agv_id": agv_id,
"device_roles": config.get("device_roles", {}),
"route_table": config.get("route_table", {}),
"capacity": get_agv_capacity(G, agv_id),
}

View File

@@ -2,13 +2,20 @@ from functools import partial
import networkx as nx
import re
import logging
from typing import List, Dict, Any, Union
from .utils.unit_parser import parse_volume_input, parse_mass_input, parse_time_input
from .utils.vessel_parser import get_vessel, find_solid_dispenser, find_connected_stirrer, find_reagent_vessel
from .utils.logger_util import action_log, debug_print
from .utils.logger_util import action_log
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[ADD] {message}")
# 🆕 创建进度日志动作
create_action_log = partial(action_log, prefix="[ADD]")

View File

@@ -1,12 +1,14 @@
from functools import partial
import networkx as nx
import logging
from typing import List, Dict, Any, Union
from .utils.vessel_parser import get_vessel, find_connected_stirrer
from .utils.logger_util import action_log, debug_print
from .utils.vessel_parser import get_vessel
from .pump_protocol import generate_pump_protocol_with_rinsing
create_action_log = partial(action_log, prefix="[ADJUST_PH]")
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[ADJUST_PH] {message}")
def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
"""
@@ -19,6 +21,8 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
Returns:
str: 试剂容器ID
"""
debug_print(f"🔍 正在查找试剂 '{reagent}' 的容器...")
# 常见酸碱试剂的别名映射
reagent_aliases = {
"hydrochloric acid": ["HCl", "hydrochloric_acid", "hcl", "muriatic_acid"],
@@ -32,13 +36,17 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
# 构建搜索名称列表
search_names = [reagent.lower()]
debug_print(f"📋 基础搜索名称: {reagent.lower()}")
# 添加别名
for base_name, aliases in reagent_aliases.items():
if reagent.lower() in base_name.lower() or base_name.lower() in reagent.lower():
search_names.extend([alias.lower() for alias in aliases])
debug_print(f"🔗 添加别名: {aliases}")
break
debug_print(f"📝 完整搜索列表: {search_names}")
# 构建可能的容器名称
possible_names = []
for name in search_names:
@@ -53,15 +61,17 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
name_clean
])
debug_print(f"搜索容器: {len(possible_names)} 个候选名称")
debug_print(f"🎯 可能的容器名称 (前5个): {possible_names[:5]}... (共{len(possible_names)}个)")
# 第一步:通过容器名称匹配
debug_print(f"📋 方法1: 精确名称匹配...")
for vessel_name in possible_names:
if vessel_name in G.nodes():
debug_print(f"通过名称匹配找到容器: {vessel_name}")
debug_print(f"通过名称匹配找到容器: {vessel_name} 🎯")
return vessel_name
# 第二步:通过模糊匹配
debug_print(f"📋 方法2: 模糊名称匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_name = G.nodes[node_id].get('name', '').lower()
@@ -69,10 +79,11 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
# 检查是否包含任何搜索名称
for search_name in search_names:
if search_name in node_id.lower() or search_name in node_name:
debug_print(f"通过模糊匹配找到容器: {node_id}")
debug_print(f"通过模糊匹配找到容器: {node_id} 🔍")
return node_id
# 第三步:通过液体类型匹配
debug_print(f"📋 方法3: 液体类型匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
@@ -85,15 +96,56 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
for search_name in search_names:
if search_name in liquid_type or search_name in reagent_name:
debug_print(f"通过液体类型匹配找到容器: {node_id}")
debug_print(f"通过液体类型匹配找到容器: {node_id} 💧")
return node_id
# 列出可用容器帮助调试
available_containers = [node_id for node_id in G.nodes()
if G.nodes[node_id].get('type') == 'container']
debug_print(f"所有匹配方法失败,可用容器: {available_containers}")
debug_print(f"📊 列出可用容器帮助调试...")
available_containers = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
liquid_types = [liquid.get('liquid_type', '') or liquid.get('name', '')
for liquid in liquids if isinstance(liquid, dict)]
available_containers.append({
'id': node_id,
'name': G.nodes[node_id].get('name', ''),
'liquids': liquid_types,
'reagent_name': vessel_data.get('reagent_name', '')
})
debug_print(f"📋 可用容器列表:")
for container in available_containers:
debug_print(f" - 🧪 {container['id']}: {container['name']}")
debug_print(f" 💧 液体: {container['liquids']}")
debug_print(f" 🏷️ 试剂: {container['reagent_name']}")
debug_print(f"❌ 所有匹配方法都失败了")
raise ValueError(f"找不到试剂 '{reagent}' 对应的容器。尝试了: {possible_names[:10]}...")
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找与容器相连的搅拌器"""
debug_print(f"🔍 查找连接到容器 '{vessel}' 的搅拌器...")
stirrer_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_stirrer']
debug_print(f"📊 发现 {len(stirrer_nodes)} 个搅拌器: {stirrer_nodes}")
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer} 🔗")
return stirrer
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个: {stirrer_nodes[0]} 🔄")
return stirrer_nodes[0]
debug_print(f"❌ 未找到任何搅拌器")
return None
def calculate_reagent_volume(target_ph_value: float, reagent: str, vessel_volume: float = 100.0) -> float:
"""
估算需要的试剂体积来调节pH
@@ -106,30 +158,44 @@ def calculate_reagent_volume(target_ph_value: float, reagent: str, vessel_volume
Returns:
float: 估算的试剂体积 (mL)
"""
debug_print(f"计算试剂体积: pH={target_ph_value}, reagent={reagent}, vessel={vessel_volume}mL")
# 简化的pH调节体积估算
debug_print(f"🧮 计算试剂体积...")
debug_print(f" 📍 目标pH: {target_ph_value}")
debug_print(f" 🧪 试剂: {reagent}")
debug_print(f" 📏 容器体积: {vessel_volume}mL")
# 简化的pH调节体积估算实际应用中需要更精确的计算
if "acid" in reagent.lower() or "hcl" in reagent.lower():
debug_print(f"🍋 检测到酸性试剂")
# 酸性试剂pH越低需要的体积越大
if target_ph_value < 3:
volume = vessel_volume * 0.05
volume = vessel_volume * 0.05 # 5%
debug_print(f" 💪 强酸性 (pH<3): 使用 5% 体积")
elif target_ph_value < 5:
volume = vessel_volume * 0.02
volume = vessel_volume * 0.02 # 2%
debug_print(f" 🔸 中酸性 (pH<5): 使用 2% 体积")
else:
volume = vessel_volume * 0.01
volume = vessel_volume * 0.01 # 1%
debug_print(f" 🔹 弱酸性 (pH≥5): 使用 1% 体积")
elif "hydroxide" in reagent.lower() or "naoh" in reagent.lower():
debug_print(f"🧂 检测到碱性试剂")
# 碱性试剂pH越高需要的体积越大
if target_ph_value > 11:
volume = vessel_volume * 0.05
volume = vessel_volume * 0.05 # 5%
debug_print(f" 💪 强碱性 (pH>11): 使用 5% 体积")
elif target_ph_value > 9:
volume = vessel_volume * 0.02
volume = vessel_volume * 0.02 # 2%
debug_print(f" 🔸 中碱性 (pH>9): 使用 2% 体积")
else:
volume = vessel_volume * 0.01
volume = vessel_volume * 0.01 # 1%
debug_print(f" 🔹 弱碱性 (pH≤9): 使用 1% 体积")
else:
# 未知试剂,使用默认值
volume = vessel_volume * 0.01
debug_print(f"估算试剂体积: {volume:.2f}mL")
debug_print(f"❓ 未知试剂类型,使用默认 1% 体积")
debug_print(f"📊 计算结果: {volume:.2f}mL")
return volume
def generate_adjust_ph_protocol(
@@ -154,67 +220,96 @@ def generate_adjust_ph_protocol(
"""
vessel_id, vessel_data = get_vessel(vessel)
if not vessel_id:
debug_print(f"❌ vessel 参数无效必须包含id字段或直接提供容器ID. vessel: {vessel}")
raise ValueError("vessel 参数无效必须包含id字段或直接提供容器ID")
debug_print(f"pH调节协议: vessel={vessel_id}, ph={ph_value}, reagent='{reagent}'")
debug_print("=" * 60)
debug_print("🧪 开始生成pH调节协议")
debug_print(f"📋 原始参数:")
debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 📊 ph_value: {ph_value}")
debug_print(f" 🧪 reagent: '{reagent}'")
debug_print(f" 📦 kwargs: {kwargs}")
debug_print("=" * 60)
action_sequence = []
# 从kwargs中获取可选参数
volume = kwargs.get('volume', 0.0)
stir = kwargs.get('stir', True)
stir_speed = kwargs.get('stir_speed', 300.0)
stir_time = kwargs.get('stir_time', 60.0)
settling_time = kwargs.get('settling_time', 30.0)
# 从kwargs中获取可选参数,如果没有则使用默认值
volume = kwargs.get('volume', 0.0) # 自动估算体积
stir = kwargs.get('stir', True) # 默认搅拌
stir_speed = kwargs.get('stir_speed', 300.0) # 默认搅拌速度
stir_time = kwargs.get('stir_time', 60.0) # 默认搅拌时间
settling_time = kwargs.get('settling_time', 30.0) # 默认平衡时间
debug_print(f"🔧 处理后的参数:")
debug_print(f" 📏 volume: {volume}mL (0.0表示自动估算)")
debug_print(f" 🌪️ stir: {stir}")
debug_print(f" 🔄 stir_speed: {stir_speed}rpm")
debug_print(f" ⏱️ stir_time: {stir_time}s")
debug_print(f" ⏳ settling_time: {settling_time}s")
# 开始处理
action_sequence.append(create_action_log(f"开始调节pH至 {ph_value}", "🧪"))
action_sequence.append(create_action_log(f"目标容器: {vessel_id}", "🥼"))
action_sequence.append(create_action_log(f"使用试剂: {reagent}", "⚗️"))
# 1. 验证目标容器存在
debug_print(f"🔍 步骤1: 验证目标容器...")
if vessel_id not in G.nodes():
debug_print(f"❌ 目标容器 '{vessel_id}' 不存在于系统中")
raise ValueError(f"目标容器 '{vessel_id}' 不存在于系统中")
debug_print(f"✅ 目标容器验证通过")
action_sequence.append(create_action_log("目标容器验证通过", ""))
# 2. 查找酸碱试剂容器
debug_print(f"🔍 步骤2: 查找试剂容器...")
action_sequence.append(create_action_log("正在查找试剂容器...", "🔍"))
try:
reagent_vessel = find_acid_base_vessel(G, reagent)
debug_print(f"✅ 找到试剂容器: {reagent_vessel}")
action_sequence.append(create_action_log(f"找到试剂容器: {reagent_vessel}", "🧪"))
except ValueError as e:
debug_print(f"❌ 无法找到试剂容器: {str(e)}")
action_sequence.append(create_action_log(f"试剂容器查找失败: {str(e)}", ""))
raise ValueError(f"无法找到试剂 '{reagent}': {str(e)}")
# 3. 体积估算
debug_print(f"🔍 步骤3: 体积处理...")
if volume <= 0:
action_sequence.append(create_action_log("开始自动估算试剂体积", "🧮"))
# 获取目标容器的体积信息
vessel_data = G.nodes[vessel_id].get('data', {})
vessel_volume = vessel_data.get('max_volume', 100.0)
vessel_volume = vessel_data.get('max_volume', 100.0) # 默认100mL
debug_print(f"📏 容器最大体积: {vessel_volume}mL")
estimated_volume = calculate_reagent_volume(ph_value, reagent, vessel_volume)
volume = estimated_volume
debug_print(f"✅ 自动估算试剂体积: {volume:.2f} mL")
action_sequence.append(create_action_log(f"估算试剂体积: {volume:.2f}mL", "📊"))
else:
debug_print(f"📏 使用指定体积: {volume}mL")
action_sequence.append(create_action_log(f"使用指定体积: {volume}mL", "📏"))
# 4. 验证路径存在
debug_print(f"🔍 步骤4: 路径验证...")
action_sequence.append(create_action_log("验证转移路径...", "🛤️"))
try:
path = nx.shortest_path(G, source=reagent_vessel, target=vessel_id)
action_sequence.append(create_action_log(f"找到转移路径: {' -> '.join(path)}", "🛤️"))
debug_print(f"找到路径: {' '.join(path)}")
action_sequence.append(create_action_log(f"找到转移路径: {''.join(path)}", "🛤️"))
except nx.NetworkXNoPath:
debug_print(f"❌ 无法找到转移路径")
action_sequence.append(create_action_log("转移路径不存在", ""))
raise ValueError(f"从试剂容器 '{reagent_vessel}' 到目标容器 '{vessel_id}' 没有可用路径")
# 5. 搅拌器设置
debug_print(f"🔍 步骤5: 搅拌器设置...")
stirrer_id = None
if stir:
action_sequence.append(create_action_log("准备启动搅拌器", "🌪️"))
@@ -223,6 +318,7 @@ def generate_adjust_ph_protocol(
stirrer_id = find_connected_stirrer(G, vessel_id)
if stirrer_id:
debug_print(f"✅ 找到搅拌器 {stirrer_id},启动搅拌")
action_sequence.append(create_action_log(f"启动搅拌器 {stirrer_id} (速度: {stir_speed}rpm)", "🔄"))
action_sequence.append({
@@ -242,18 +338,23 @@ def generate_adjust_ph_protocol(
"action_kwargs": {"time": 5}
})
else:
debug_print(f"⚠️ 未找到搅拌器,继续执行")
action_sequence.append(create_action_log("未找到搅拌器,跳过搅拌", "⚠️"))
except Exception as e:
debug_print(f"❌ 搅拌器配置出错: {str(e)}")
action_sequence.append(create_action_log(f"搅拌器配置失败: {str(e)}", ""))
else:
debug_print(f"📋 跳过搅拌设置")
action_sequence.append(create_action_log("跳过搅拌设置", "⏭️"))
# 6. 试剂添加
debug_print(f"🔍 步骤6: 试剂添加...")
action_sequence.append(create_action_log(f"开始添加试剂 {volume:.2f}mL", "🚰"))
# 计算添加时间pH调节需要缓慢添加
addition_time = max(30.0, volume * 2.0)
addition_time = max(30.0, volume * 2.0) # 至少30秒每mL需要2秒
debug_print(f"⏱️ 计算添加时间: {addition_time}s (缓慢注入)")
action_sequence.append(create_action_log(f"设置添加时间: {addition_time:.0f}s (缓慢注入)", "⏱️"))
try:
@@ -276,28 +377,35 @@ def generate_adjust_ph_protocol(
)
action_sequence.extend(pump_actions)
debug_print(f"✅ 泵协议生成完成,添加了 {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"试剂转移完成 ({len(pump_actions)} 个操作)", ""))
# 体积运算 - 试剂添加成功后更新容器液体体积
# 🔧 修复体积运算 - 试剂添加成功后更新容器液体体积
debug_print(f"🔧 更新容器液体体积...")
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
debug_print(f"📊 添加前容器体积: {current_volume}")
# 处理不同的体积数据格式
if isinstance(current_volume, list):
if len(current_volume) > 0:
# 增加体积(添加试剂)
vessel["data"]["liquid_volume"][0] += volume
debug_print(f"📊 添加后容器体积: {vessel['data']['liquid_volume'][0]:.2f}mL (+{volume:.2f}mL)")
else:
# 如果列表为空,创建新的体积记录
vessel["data"]["liquid_volume"] = [volume]
debug_print(f"📊 初始化容器体积: {volume:.2f}mL")
elif isinstance(current_volume, (int, float)):
# 直接数值类型
vessel["data"]["liquid_volume"] += volume
debug_print(f"📊 添加后容器体积: {vessel['data']['liquid_volume']:.2f}mL (+{volume:.2f}mL)")
else:
debug_print(f"未知的体积数据格式: {type(current_volume)}")
debug_print(f"⚠️ 未知的体积数据格式: {type(current_volume)}")
# 创建新的体积记录
vessel["data"]["liquid_volume"] = volume
else:
debug_print(f"📊 容器无液体体积数据,创建新记录: {volume:.2f}mL")
# 确保vessel有data字段
if "data" not in vessel:
vessel["data"] = {}
@@ -315,16 +423,19 @@ def generate_adjust_ph_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = current_node_volume + volume
debug_print(f"✅ 图节点体积数据已更新")
action_sequence.append(create_action_log(f"容器体积已更新 (+{volume:.2f}mL)", "📊"))
except Exception as e:
debug_print(f"生成泵协议时出错: {str(e)}")
debug_print(f"生成泵协议时出错: {str(e)}")
action_sequence.append(create_action_log(f"泵协议生成失败: {str(e)}", ""))
raise ValueError(f"生成泵协议时出错: {str(e)}")
# 7. 混合搅拌
if stir and stirrer_id:
debug_print(f"🔍 步骤7: 混合搅拌...")
action_sequence.append(create_action_log(f"开始混合搅拌 {stir_time:.0f}s", "🌀"))
action_sequence.append({
@@ -337,10 +448,14 @@ def generate_adjust_ph_protocol(
"purpose": f"pH调节: 混合试剂目标pH={ph_value}"
}
})
debug_print(f"✅ 混合搅拌设置完成")
else:
debug_print(f"⏭️ 跳过混合搅拌")
action_sequence.append(create_action_log("跳过混合搅拌", "⏭️"))
# 8. 等待平衡
debug_print(f"🔍 步骤8: 反应平衡...")
action_sequence.append(create_action_log(f"等待pH平衡 {settling_time:.0f}s", "⚖️"))
action_sequence.append({
@@ -353,7 +468,17 @@ def generate_adjust_ph_protocol(
# 9. 完成总结
total_time = addition_time + stir_time + settling_time
debug_print(f"pH调节协议完成: {len(action_sequence)} 个动作, {total_time:.0f}s, {volume:.2f}mL {reagent}{vessel_id} pH {ph_value}")
debug_print("=" * 60)
debug_print(f"🎉 pH调节协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" ⏱️ 预计总时间: {total_time:.0f}s ({total_time/60:.1f}分钟)")
debug_print(f" 🧪 试剂: {reagent}")
debug_print(f" 📏 体积: {volume:.2f}mL")
debug_print(f" 📊 目标pH: {ph_value}")
debug_print(f" 🥼 目标容器: {vessel_id}")
debug_print("=" * 60)
# 添加完成日志
summary_msg = f"pH调节协议完成: {vessel_id} → pH {ph_value} (使用 {volume:.2f}mL {reagent})"
@@ -385,18 +510,28 @@ def generate_adjust_ph_protocol_stepwise(
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id = vessel["id"]
debug_print(f"分步pH调节: vessel={vessel_id}, ph={ph_value}, reagent={reagent}, max_volume={max_volume}mL, steps={steps}")
debug_print("=" * 60)
debug_print(f"🔄 开始分步pH调节")
debug_print(f"📋 分步参数:")
debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 📊 ph_value: {ph_value}")
debug_print(f" 🧪 reagent: {reagent}")
debug_print(f" 📏 max_volume: {max_volume}mL")
debug_print(f" 🔢 steps: {steps}")
debug_print("=" * 60)
action_sequence = []
# 每步添加的体积
step_volume = max_volume / steps
debug_print(f"📊 每步体积: {step_volume:.2f}mL")
action_sequence.append(create_action_log(f"开始分步pH调节 ({steps}步)", "🔄"))
action_sequence.append(create_action_log(f"每步添加: {step_volume:.2f}mL", "📏"))
for i in range(steps):
debug_print(f"🔄 执行第 {i+1}/{steps} 步,添加 {step_volume:.2f}mL")
action_sequence.append(create_action_log(f"{i+1}/{steps} 步开始", "🚀"))
# 生成单步协议
@@ -413,10 +548,12 @@ def generate_adjust_ph_protocol_stepwise(
)
action_sequence.extend(step_actions)
debug_print(f"✅ 第 {i+1}/{steps} 步完成,添加了 {len(step_actions)} 个动作")
action_sequence.append(create_action_log(f"{i+1}/{steps} 步完成", ""))
# 步骤间等待
if i < steps - 1:
debug_print(f"⏳ 步骤间等待30s")
action_sequence.append(create_action_log("步骤间等待...", ""))
action_sequence.append({
"action_name": "wait",
@@ -426,7 +563,7 @@ def generate_adjust_ph_protocol_stepwise(
}
})
debug_print(f"分步pH调节完成: {len(action_sequence)} 个动作")
debug_print(f"🎉 分步pH调节完成,共 {len(action_sequence)} 个动作")
action_sequence.append(create_action_log("分步pH调节全部完成", "🎉"))
return action_sequence
@@ -440,7 +577,7 @@ def generate_acidify_protocol(
) -> List[Dict[str, Any]]:
"""酸化协议"""
vessel_id = vessel["id"]
debug_print(f"酸化协议: {vessel_id} → pH {target_ph} ({acid})")
debug_print(f"🍋 生成酸化协议: {vessel_id} → pH {target_ph} (使用 {acid})")
return generate_adjust_ph_protocol(
G, vessel, target_ph, acid
)
@@ -453,7 +590,7 @@ def generate_basify_protocol(
) -> List[Dict[str, Any]]:
"""碱化协议"""
vessel_id = vessel["id"]
debug_print(f"碱化协议: {vessel_id} → pH {target_ph} ({base})")
debug_print(f"🧂 生成碱化协议: {vessel_id} → pH {target_ph} (使用 {base})")
return generate_adjust_ph_protocol(
G, vessel, target_ph, base
)
@@ -465,7 +602,7 @@ def generate_neutralize_protocol(
) -> List[Dict[str, Any]]:
"""中和协议pH=7"""
vessel_id = vessel["id"]
debug_print(f"中和协议: {vessel_id} → pH 7.0 ({reagent})")
debug_print(f"⚖️ 生成中和协议: {vessel_id} → pH 7.0 (使用 {reagent})")
return generate_adjust_ph_protocol(
G, vessel, 7.0, reagent
)
@@ -473,7 +610,10 @@ def generate_neutralize_protocol(
# 测试函数
def test_adjust_ph_protocol():
"""测试pH调节协议"""
debug_print("=== ADJUST PH PROTOCOL 增强版测试 ===")
# 测试体积计算
debug_print("🧮 测试体积计算...")
test_cases = [
(2.0, "hydrochloric acid", 100.0),
(4.0, "hydrochloric acid", 100.0),
@@ -481,12 +621,12 @@ def test_adjust_ph_protocol():
(10.0, "sodium hydroxide", 100.0),
(7.0, "unknown reagent", 100.0)
]
for ph, reagent, volume in test_cases:
result = calculate_reagent_volume(ph, reagent, volume)
debug_print(f"{reagent} → pH {ph}: {result:.2f}mL")
debug_print("测试完成")
debug_print(f"📊 {reagent} → pH {ph}: {result:.2f}mL")
debug_print("测试完成")
if __name__ == "__main__":
test_adjust_ph_protocol()

View File

@@ -1,12 +1,4 @@
"""
AGV 单物料转运编译器
从 physical_setup_graph 中查询 AGV 配置device_roles, route_table
不再硬编码 device_id 和路由表。
"""
import networkx as nx
from unilabos.compile._agv_utils import find_agv_config
def generate_agv_transfer_protocol(
@@ -25,32 +17,37 @@ def generate_agv_transfer_protocol(
from_repo_id = from_repo_["id"]
to_repo_id = to_repo_["id"]
# 从 G 中查询 AGV 配置
agv_cfg = find_agv_config(G)
device_roles = agv_cfg["device_roles"]
route_table = agv_cfg["route_table"]
wf_list = {
("AiChemEcoHiWo", "zhixing_agv"): {"nav_command" : '{"target" : "LM14"}',
"arm_command": '{"task_name" : "camera/250111_biaozhi.urp"}'},
("AiChemEcoHiWo", "AGV"): {"nav_command" : '{"target" : "LM14"}',
"arm_command": '{"task_name" : "camera/250111_biaozhi.urp"}'},
route_key = f"{from_repo_id}->{to_repo_id}"
if route_key not in route_table:
raise KeyError(f"AGV 路由表中未找到路线: {route_key},可用路线: {list(route_table.keys())}")
("zhixing_agv", "Revvity"): {"nav_command" : '{"target" : "LM13"}',
"arm_command": '{"task_name" : "camera/250111_put_board.urp"}'},
route = route_table[route_key]
nav_device = device_roles.get("navigator", device_roles.get("nav"))
arm_device = device_roles.get("arm")
("AGV", "Revvity"): {"nav_command" : '{"target" : "LM13"}',
"arm_command": '{"task_name" : "camera/250111_put_board.urp"}'},
("Revvity", "HPLC"): {"nav_command": '{"target" : "LM13"}',
"arm_command": '{"task_name" : "camera/250111_hplc.urp"}'},
("HPLC", "Revvity"): {"nav_command": '{"target" : "LM13"}',
"arm_command": '{"task_name" : "camera/250111_lfp.urp"}'},
}
return [
{
"device_id": nav_device,
"device_id": "zhixing_agv",
"action_name": "send_nav_task",
"action_kwargs": {
"command": route["nav_command"]
"command": wf_list[(from_repo_id, to_repo_id)]["nav_command"]
}
},
{
"device_id": arm_device,
"device_id": "zhixing_ur_arm",
"action_name": "move_pos_task",
"action_kwargs": {
"command": route.get("arm_command", route.get("arm_place", ""))
"command": wf_list[(from_repo_id, to_repo_id)]["arm_command"]
}
}
]

View File

@@ -1,228 +0,0 @@
"""
批量物料转运编译器
将 BatchTransferProtocol 编译为多批次的 nav → pick × N → nav → place × N 动作序列。
自动按 AGV 容量分批,全程维护三方 children dict 的物料系统一致性。
"""
import copy
from typing import Any, Dict, List
import networkx as nx
from unilabos.compile._agv_utils import find_agv_config, split_batches
def generate_batch_transfer_protocol(
G: nx.Graph,
from_repo: dict,
to_repo: dict,
transfer_resources: list,
from_positions: list,
to_positions: list,
) -> List[Dict[str, Any]]:
"""编译批量转运协议为可执行的 action steps
Args:
G: 设备图 (physical_setup_graph)
from_repo: 来源工站资源 dict{station_id: {..., children: {...}}}
to_repo: 目标工站资源 dict含堆栈和位置信息
transfer_resources: 被转运的物料列表Resource dict
from_positions: 来源 slot 位置列表(与 transfer_resources 平行)
to_positions: 目标 slot 位置列表(与 transfer_resources 平行)
Returns:
action steps 列表ROS2WorkstationNode 按序执行
"""
if not transfer_resources:
return []
n = len(transfer_resources)
if len(from_positions) != n or len(to_positions) != n:
raise ValueError(
f"transfer_resources({n}), from_positions({len(from_positions)}), "
f"to_positions({len(to_positions)}) 长度不一致"
)
# 组合为内部 transfer_items 便于分批处理
transfer_items = []
for i in range(n):
res = transfer_resources[i] if isinstance(transfer_resources[i], dict) else {}
transfer_items.append({
"resource_id": res.get("id", res.get("name", "")),
"resource_uuid": res.get("sample_id", ""),
"from_position": from_positions[i],
"to_position": to_positions[i],
"resource": res,
})
# 查询 AGV 配置
agv_cfg = find_agv_config(G)
agv_id = agv_cfg["agv_id"]
device_roles = agv_cfg["device_roles"]
route_table = agv_cfg["route_table"]
capacity = agv_cfg["capacity"]
if capacity <= 0:
raise ValueError(f"AGV {agv_id} 容量为 0请检查 Warehouse 子节点配置")
nav_device = device_roles.get("navigator", device_roles.get("nav"))
arm_device = device_roles.get("arm")
if not nav_device or not arm_device:
raise ValueError(f"AGV {agv_id} device_roles 缺少 navigator 或 arm: {device_roles}")
from_repo_ = list(from_repo.values())[0]
to_repo_ = list(to_repo.values())[0]
from_station_id = from_repo_["id"]
to_station_id = to_repo_["id"]
# 查找路由
route_to_source = _find_route(route_table, agv_id, from_station_id)
route_to_target = _find_route(route_table, from_station_id, to_station_id)
# 构建 AGV carrier 的 children dict用于 compile 阶段状态追踪)
agv_carrier_children: Dict[str, Any] = {}
# 计算 slot 名称A01, A02, B01, ...
agv_slot_names = _get_agv_slot_names(G, agv_cfg)
# 分批
batches = split_batches(transfer_items, capacity)
steps: List[Dict[str, Any]] = []
for batch_idx, batch in enumerate(batches):
is_last_batch = (batch_idx == len(batches) - 1)
# 阶段 1: AGV 导航到来源工站
steps.append({
"device_id": nav_device,
"action_name": "send_nav_task",
"action_kwargs": {
"command": route_to_source.get("nav_command", "")
},
"_comment": f"批次{batch_idx + 1}/{len(batches)}: AGV 导航至来源 {from_station_id}"
})
# 阶段 2: 逐个 pick
for item_idx, item in enumerate(batch):
from_pos = item["from_position"]
slot = agv_slot_names[item_idx] if item_idx < len(agv_slot_names) else f"S{item_idx + 1}"
# compile 阶段更新 children dict
if from_pos in from_repo_.get("children", {}):
resource_data = from_repo_["children"].pop(from_pos)
resource_data["parent"] = agv_id
agv_carrier_children[slot] = resource_data
steps.append({
"device_id": arm_device,
"action_name": "move_pos_task",
"action_kwargs": {
"command": route_to_source.get("arm_pick", route_to_source.get("arm_command", ""))
},
"_transfer_meta": {
"phase": "pick",
"resource_uuid": item.get("resource_uuid", ""),
"resource_id": item.get("resource_id", ""),
"from_parent": from_station_id,
"from_position": from_pos,
"agv_slot": slot,
},
"_comment": f"Pick {item.get('resource_id', from_pos)} → AGV.{slot}"
})
# 阶段 3: AGV 导航到目标工站
steps.append({
"device_id": nav_device,
"action_name": "send_nav_task",
"action_kwargs": {
"command": route_to_target.get("nav_command", "")
},
"_comment": f"批次{batch_idx + 1}: AGV 导航至目标 {to_station_id}"
})
# 阶段 4: 逐个 place
for item_idx, item in enumerate(batch):
to_pos = item["to_position"]
slot = agv_slot_names[item_idx] if item_idx < len(agv_slot_names) else f"S{item_idx + 1}"
# compile 阶段更新 children dict
if slot in agv_carrier_children:
resource_data = agv_carrier_children.pop(slot)
resource_data["parent"] = to_repo_["id"]
to_repo_["children"][to_pos] = resource_data
steps.append({
"device_id": arm_device,
"action_name": "move_pos_task",
"action_kwargs": {
"command": route_to_target.get("arm_place", route_to_target.get("arm_command", ""))
},
"_transfer_meta": {
"phase": "place",
"resource_uuid": item.get("resource_uuid", ""),
"resource_id": item.get("resource_id", ""),
"to_parent": to_station_id,
"to_position": to_pos,
"agv_slot": slot,
},
"_comment": f"Place AGV.{slot}{to_station_id}.{to_pos}"
})
# 如果还有下一批AGV 需要返回来源取料
if not is_last_batch:
steps.append({
"device_id": nav_device,
"action_name": "send_nav_task",
"action_kwargs": {
"command": route_to_source.get("nav_command", "")
},
"_comment": f"AGV 返回来源 {from_station_id} 取下一批"
})
return steps
def _find_route(route_table: Dict[str, Any], from_id: str, to_id: str) -> Dict[str, str]:
"""在路由表中查找路线,支持 A->B 和 (A, B) 两种 key 格式"""
# 优先 "A->B" 格式
key = f"{from_id}->{to_id}"
if key in route_table:
return route_table[key]
# 兼容 tuple keyJSON 中以逗号分隔字符串表示)
tuple_key = f"({from_id}, {to_id})"
if tuple_key in route_table:
return route_table[tuple_key]
raise KeyError(f"路由表中未找到: {key},可用路线: {list(route_table.keys())}")
def _get_agv_slot_names(G: nx.Graph, agv_cfg: dict) -> List[str]:
"""从设备图中获取 AGV Warehouse 的 slot 名称列表"""
agv_id = agv_cfg["agv_id"]
neighbors = G.successors(agv_id) if G.is_directed() else G.neighbors(agv_id)
for neighbor in neighbors:
ndata = G.nodes[neighbor]
node_type = ndata.get("type", "")
res_content = ndata.get("res_content")
if hasattr(res_content, "type"):
node_type = res_content.type or node_type
elif isinstance(res_content, dict):
node_type = res_content.get("type", node_type)
if node_type == "warehouse":
config = ndata.get("config", {})
if hasattr(res_content, "config") and isinstance(res_content.config, dict):
config = res_content.config
elif isinstance(res_content, dict):
config = res_content.get("config", config)
num_x = config.get("num_items_x", 1)
num_y = config.get("num_items_y", 1)
num_z = config.get("num_items_z", 1)
# 与 warehouse_factory 一致的命名
letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
len_x = num_x if num_z == 1 else (num_y if num_x == 1 else num_x)
len_y = num_y if num_z == 1 else (num_z if num_x == 1 else num_z)
return [f"{letters[j]}{i + 1:02d}" for i in range(len_x) for j in range(len_y)]
# 兜底生成通用名称
capacity = agv_cfg.get("capacity", 4)
return [f"S{i + 1}" for i in range(capacity)]

View File

@@ -1,9 +1,7 @@
from typing import List, Dict, Any
import networkx as nx
from .utils.vessel_parser import get_vessel, find_solvent_vessel, find_connected_heatchill
from .utils.logger_util import debug_print
from .utils.vessel_parser import get_vessel, find_solvent_vessel
from .pump_protocol import generate_pump_protocol
from .utils.resource_helper import get_resource_liquid_volume
def find_solvent_vessel_by_any_match(G: nx.DiGraph, solvent: str) -> str:
@@ -19,23 +17,43 @@ def find_waste_vessel(G: nx.DiGraph) -> str:
"""
possible_waste_names = [
"waste_workup",
"flask_waste",
"flask_waste",
"bottle_waste",
"waste",
"waste_vessel",
"waste_container"
]
for waste_name in possible_waste_names:
if waste_name in G.nodes():
return waste_name
raise ValueError(f"未找到废液容器。尝试了以下名称: {possible_waste_names}")
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""
查找与指定容器相连的加热冷却设备
"""
# 查找所有加热冷却设备节点
heatchill_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_heatchill']
# 检查哪个加热设备与目标容器相连(机械连接)
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
return heatchill
# 如果没有直接连接,返回第一个可用的加热设备
if heatchill_nodes:
return heatchill_nodes[0]
return None # 没有加热设备也可以工作,只是不能加热
def generate_clean_vessel_protocol(
G: nx.DiGraph,
vessel: dict,
vessel: dict, # 🔧 修改:从字符串改为字典类型
solvent: str,
volume: float,
temp: float,
@@ -43,7 +61,7 @@ def generate_clean_vessel_protocol(
) -> List[Dict[str, Any]]:
"""
生成容器清洗操作的协议序列,复用 pump_protocol 的成熟算法
清洗流程:
1. 查找溶剂容器和废液容器
2. 如果需要加热,启动加热设备
@@ -52,50 +70,63 @@ def generate_clean_vessel_protocol(
b. (可选) 等待清洗作用时间
c. 使用 pump_protocol 将清洗液从目标容器转移到废液容器
4. 如果加热了,停止加热
Args:
G: 有向图,节点为设备和容器,边为流体管道
vessel: 要清洗的容器字典包含id字段
solvent: 用于清洗的溶剂名称
solvent: 用于清洗的溶剂名称
volume: 每次清洗使用的溶剂体积
temp: 清洗时的温度
repeats: 清洗操作的重复次数,默认为 1
Returns:
List[Dict[str, Any]]: 容器清洗操作的动作序列
Raises:
ValueError: 当找不到必要的容器或设备时抛出异常
Examples:
clean_protocol = generate_clean_vessel_protocol(G, {"id": "main_reactor"}, "water", 100.0, 60.0, 2)
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
debug_print(f"开始生成容器清洗协议: vessel={vessel_id}, solvent={solvent}, volume={volume}mL, temp={temp}°C, repeats={repeats}")
print(f"CLEAN_VESSEL: 开始生成容器清洗协议")
print(f" - 目标容器: {vessel} (ID: {vessel_id})")
print(f" - 清洗溶剂: {solvent}")
print(f" - 清洗体积: {volume} mL")
print(f" - 清洗温度: {temp}°C")
print(f" - 重复次数: {repeats}")
# 验证目标容器存在
if vessel_id not in G.nodes():
raise ValueError(f"目标容器 '{vessel_id}' 不存在于系统中")
# 查找溶剂容器
try:
solvent_vessel = find_solvent_vessel(G, solvent)
debug_print(f"找到溶剂容器: {solvent_vessel}")
print(f"CLEAN_VESSEL: 找到溶剂容器: {solvent_vessel}")
except ValueError as e:
raise ValueError(f"无法找到溶剂容器: {str(e)}")
# 查找废液容器
try:
waste_vessel = find_waste_vessel(G)
debug_print(f"找到废液容器: {waste_vessel}")
print(f"CLEAN_VESSEL: 找到废液容器: {waste_vessel}")
except ValueError as e:
raise ValueError(f"无法找到废液容器: {str(e)}")
# 查找加热设备(可选)
heatchill_id = find_connected_heatchill(G, vessel_id)
heatchill_id = find_connected_heatchill(G, vessel_id) # 🔧 使用 vessel_id
if heatchill_id:
debug_print(f"找到加热设备: {heatchill_id}")
print(f"CLEAN_VESSEL: 找到加热设备: {heatchill_id}")
else:
debug_print(f"未找到加热设备,将在室温下清洗")
# 记录清洗前的容器状态
print(f"CLEAN_VESSEL: 未找到加热设备,将在室温下清洗")
# 🔧 新增:记录清洗前的容器状态
print(f"CLEAN_VESSEL: 记录清洗前容器状态...")
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -103,69 +134,79 @@ def generate_clean_vessel_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
print(f"CLEAN_VESSEL: 清洗前液体体积: {original_liquid_volume:.2f}mL")
# 第一步:如果需要加热且有加热设备,启动加热
if temp > 25.0 and heatchill_id:
debug_print(f"启动加热至 {temp}°C")
print(f"CLEAN_VESSEL: 启动加热至 {temp}°C")
heatchill_start_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"temp": temp,
"purpose": f"cleaning with {solvent}"
}
}
action_sequence.append(heatchill_start_action)
# 等待温度稳定
wait_action = {
"action_name": "wait",
"action_kwargs": {"time": 30}
"action_name": "wait",
"action_kwargs": {"time": 30} # 等待30秒让温度稳定
}
action_sequence.append(wait_action)
# 第二步:重复清洗操作
for repeat in range(repeats):
debug_print(f"执行第 {repeat + 1}/{repeats} 次清洗")
print(f"CLEAN_VESSEL: 执行第 {repeat + 1} 次清洗")
# 2a. 使用 pump_protocol 将溶剂转移到目标容器
print(f"CLEAN_VESSEL: 将 {volume} mL {solvent} 转移到 {vessel_id}")
try:
# 调用成熟的 pump_protocol 算法
add_solvent_actions = generate_pump_protocol(
G=G,
from_vessel=solvent_vessel,
to_vessel=vessel_id,
to_vessel=vessel_id, # 🔧 使用 vessel_id
volume=volume,
flowrate=2.5,
flowrate=2.5, # 适中的流速,避免飞溅
transfer_flowrate=2.5
)
action_sequence.extend(add_solvent_actions)
# 更新容器体积(添加清洗溶剂)
# 🔧 新增:更新容器体积(添加清洗溶剂)
print(f"CLEAN_VESSEL: 更新容器体积 - 添加清洗溶剂 {volume:.2f}mL")
if "data" not in vessel:
vessel["data"] = {}
if "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] += volume
print(f"CLEAN_VESSEL: 添加溶剂后体积: {vessel['data']['liquid_volume'][0]:.2f}mL (+{volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = [volume]
print(f"CLEAN_VESSEL: 初始化清洗体积: {volume:.2f}mL")
elif isinstance(current_volume, (int, float)):
vessel["data"]["liquid_volume"] += volume
print(f"CLEAN_VESSEL: 添加溶剂后体积: {vessel['data']['liquid_volume']:.2f}mL (+{volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = volume
print(f"CLEAN_VESSEL: 重置体积为: {volume:.2f}mL")
else:
vessel["data"]["liquid_volume"] = volume
# 同时更新图中的容器数据
print(f"CLEAN_VESSEL: 创建新体积记录: {volume:.2f}mL")
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] += volume
@@ -173,48 +214,58 @@ def generate_clean_vessel_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = current_node_volume + volume
print(f"CLEAN_VESSEL: 图节点体积数据已更新")
except Exception as e:
raise ValueError(f"无法将溶剂转移到容器: {str(e)}")
# 2b. 等待清洗作用时间
cleaning_wait_time = 60 if temp > 50.0 else 30
# 2b. 等待清洗作用时间(让溶剂充分清洗容器)
cleaning_wait_time = 60 if temp > 50.0 else 30 # 高温下等待更久
print(f"CLEAN_VESSEL: 等待清洗作用 {cleaning_wait_time}")
wait_action = {
"action_name": "wait",
"action_name": "wait",
"action_kwargs": {"time": cleaning_wait_time}
}
action_sequence.append(wait_action)
# 2c. 使用 pump_protocol 将清洗液转移到废液容器
print(f"CLEAN_VESSEL: 将清洗液从 {vessel_id} 转移到废液容器")
try:
# 调用成熟的 pump_protocol 算法
remove_waste_actions = generate_pump_protocol(
G=G,
from_vessel=vessel_id,
from_vessel=vessel_id, # 🔧 使用 vessel_id
to_vessel=waste_vessel,
volume=volume,
flowrate=2.5,
flowrate=2.5, # 适中的流速
transfer_flowrate=2.5
)
action_sequence.extend(remove_waste_actions)
# 更新容器体积(移除清洗液)
# 🔧 新增:更新容器体积(移除清洗液)
print(f"CLEAN_VESSEL: 更新容器体积 - 移除清洗液 {volume:.2f}mL")
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] = max(0.0, vessel["data"]["liquid_volume"][0] - volume)
print(f"CLEAN_VESSEL: 移除清洗液后体积: {vessel['data']['liquid_volume'][0]:.2f}mL (-{volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = [0.0]
print(f"CLEAN_VESSEL: 重置体积为0mL")
elif isinstance(current_volume, (int, float)):
vessel["data"]["liquid_volume"] = max(0.0, current_volume - volume)
print(f"CLEAN_VESSEL: 移除清洗液后体积: {vessel['data']['liquid_volume']:.2f}mL (-{volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = 0.0
# 同时更新图中的容器数据
print(f"CLEAN_VESSEL: 重置体积为0mL")
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
vessel_node_data = G.nodes[vessel_id].get('data', {})
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = max(0.0, current_node_volume[0] - volume)
@@ -222,30 +273,34 @@ def generate_clean_vessel_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [0.0]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = max(0.0, current_node_volume - volume)
print(f"CLEAN_VESSEL: 图节点体积数据已更新")
except Exception as e:
raise ValueError(f"无法将清洗液转移到废液容器: {str(e)}")
# 2d. 清洗循环间的短暂等待
if repeat < repeats - 1:
if repeat < repeats - 1: # 不是最后一次清洗
print(f"CLEAN_VESSEL: 清洗循环间等待")
wait_action = {
"action_name": "wait",
"action_name": "wait",
"action_kwargs": {"time": 10}
}
action_sequence.append(wait_action)
# 第三步:如果加热了,停止加热
if temp > 25.0 and heatchill_id:
print(f"CLEAN_VESSEL: 停止加热")
heatchill_stop_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
}
}
action_sequence.append(heatchill_stop_action)
# 清洗完成后的状态
# 🔧 新增:清洗完成后的状态报告
final_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -253,17 +308,20 @@ def generate_clean_vessel_protocol(
final_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
final_liquid_volume = current_volume
debug_print(f"清洗完成: {len(action_sequence)} 个动作, 体积 {original_liquid_volume:.2f} -> {final_liquid_volume:.2f}mL")
print(f"CLEAN_VESSEL: 清洗完成")
print(f" - 清洗前体积: {original_liquid_volume:.2f}mL")
print(f" - 清洗后体积: {final_liquid_volume:.2f}mL")
print(f" - 生成了 {len(action_sequence)} 个动作")
return action_sequence
# 便捷函数
# 便捷函数:常用清洗方案
def generate_quick_clean_protocol(
G: nx.DiGraph,
vessel: dict,
solvent: str = "water",
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
solvent: str = "water",
volume: float = 100.0
) -> List[Dict[str, Any]]:
"""快速清洗:室温,单次清洗"""
@@ -271,9 +329,9 @@ def generate_quick_clean_protocol(
def generate_thorough_clean_protocol(
G: nx.DiGraph,
vessel: dict,
solvent: str = "water",
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
solvent: str = "water",
volume: float = 150.0,
temp: float = 60.0
) -> List[Dict[str, Any]]:
@@ -282,13 +340,13 @@ def generate_thorough_clean_protocol(
def generate_organic_clean_protocol(
G: nx.DiGraph,
vessel: dict,
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
volume: float = 100.0
) -> List[Dict[str, Any]]:
"""有机清洗:先用有机溶剂,再用水清洗"""
action_sequence = []
# 第一步:有机溶剂清洗
try:
organic_actions = generate_clean_vessel_protocol(
@@ -296,71 +354,96 @@ def generate_organic_clean_protocol(
)
action_sequence.extend(organic_actions)
except ValueError:
# 如果没有丙酮,尝试乙醇
try:
organic_actions = generate_clean_vessel_protocol(
G, vessel, "ethanol", volume, 25.0, 2
)
action_sequence.extend(organic_actions)
except ValueError:
debug_print("未找到有机溶剂,跳过有机清洗步骤")
print("警告:未找到有机溶剂,跳过有机清洗步骤")
# 第二步:水清洗
water_actions = generate_clean_vessel_protocol(
G, vessel, "water", volume, 25.0, 2
)
action_sequence.extend(water_actions)
return action_sequence
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
"""获取容器中的液体体积(修复版)"""
if vessel not in G.nodes():
return 0.0
vessel_data = G.nodes[vessel].get('data', {})
liquids = vessel_data.get('liquid', [])
total_volume = 0.0
for liquid in liquids:
if isinstance(liquid, dict):
# 支持两种格式:新格式 (name, volume) 和旧格式 (liquid_type, liquid_volume)
volume = liquid.get('volume') or liquid.get('liquid_volume', 0.0)
total_volume += volume
return total_volume
def get_vessel_liquid_types(G: nx.DiGraph, vessel: str) -> List[str]:
"""获取容器中所有液体的类型"""
if vessel not in G.nodes():
return []
vessel_data = G.nodes[vessel].get('data', {})
liquids = vessel_data.get('liquid', [])
liquid_types = []
for liquid in liquids:
if isinstance(liquid, dict):
# 支持两种格式的液体类型字段
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type:
liquid_types.append(liquid_type)
return liquid_types
def find_vessel_by_content(G: nx.DiGraph, content: str) -> List[str]:
"""
根据内容物查找所有匹配的容器
返回匹配容器的ID列表
"""
matching_vessels = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
# 检查容器名称匹配
node_name = G.nodes[node_id].get('name', '').lower()
if content.lower() in node_id.lower() or content.lower() in node_name:
matching_vessels.append(node_id)
continue
# 检查液体类型匹配
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
config_data = G.nodes[node_id].get('config', {})
# 检查 reagent_name 和 config.reagent
reagent_name = vessel_data.get('reagent_name', '').lower()
config_reagent = config_data.get('reagent', '').lower()
if (content.lower() == reagent_name or
if (content.lower() == reagent_name or
content.lower() == config_reagent):
matching_vessels.append(node_id)
continue
# 检查液体列表
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type.lower() == content.lower():
matching_vessels.append(node_id)
break
return matching_vessels
return matching_vessels

View File

@@ -1,19 +1,402 @@
from functools import partial
import networkx as nx
import re
import logging
from typing import List, Dict, Any, Union
from .utils.logger_util import debug_print, action_log
from .utils.unit_parser import parse_volume_input, parse_mass_input, parse_time_input, parse_temperature_input
from .utils.vessel_parser import get_vessel, find_solvent_vessel, find_connected_heatchill, find_connected_stirrer, find_solid_dispenser
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
# 创建进度日志动作
def debug_print(message):
"""调试输出"""
logger.info(f"[DISSOLVE] {message}")
# 🆕 创建进度日志动作
create_action_log = partial(action_log, prefix="[DISSOLVE]")
def parse_volume_input(volume_input: Union[str, float]) -> float:
"""
解析体积输入,支持带单位的字符串
Args:
volume_input: 体积输入(如 "10 mL", "?", 10.0
Returns:
float: 体积(毫升)
"""
if isinstance(volume_input, (int, float)):
debug_print(f"📏 体积输入为数值: {volume_input}")
return float(volume_input)
if not volume_input or not str(volume_input).strip():
debug_print(f"⚠️ 体积输入为空返回0.0mL")
return 0.0
volume_str = str(volume_input).lower().strip()
debug_print(f"🔍 解析体积输入: '{volume_str}'")
# 处理未知体积
if volume_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_volume = 50.0 # 默认50mL
debug_print(f"❓ 检测到未知体积,使用默认值: {default_volume}mL 🎯")
return default_volume
# 移除空格并提取数字和单位
volume_clean = re.sub(r'\s+', '', volume_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(ml|l|μl|ul|microliter|milliliter|liter)?', volume_clean)
if not match:
debug_print(f"❌ 无法解析体积: '{volume_str}'使用默认值50mL")
return 50.0
value = float(match.group(1))
unit = match.group(2) or 'ml' # 默认单位为毫升
# 转换为毫升
if unit in ['l', 'liter']:
volume = value * 1000.0 # L -> mL
debug_print(f"🔄 体积转换: {value}L → {volume}mL")
elif unit in ['μl', 'ul', 'microliter']:
volume = value / 1000.0 # μL -> mL
debug_print(f"🔄 体积转换: {value}μL → {volume}mL")
else: # ml, milliliter 或默认
volume = value # 已经是mL
debug_print(f"✅ 体积已为mL: {volume}mL")
return volume
def parse_mass_input(mass_input: Union[str, float]) -> float:
"""
解析质量输入,支持带单位的字符串
Args:
mass_input: 质量输入(如 "2.9 g", "?", 2.5
Returns:
float: 质量(克)
"""
if isinstance(mass_input, (int, float)):
debug_print(f"⚖️ 质量输入为数值: {mass_input}g")
return float(mass_input)
if not mass_input or not str(mass_input).strip():
debug_print(f"⚠️ 质量输入为空返回0.0g")
return 0.0
mass_str = str(mass_input).lower().strip()
debug_print(f"🔍 解析质量输入: '{mass_str}'")
# 处理未知质量
if mass_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_mass = 1.0 # 默认1g
debug_print(f"❓ 检测到未知质量,使用默认值: {default_mass}g 🎯")
return default_mass
# 移除空格并提取数字和单位
mass_clean = re.sub(r'\s+', '', mass_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(g|mg|kg|gram|milligram|kilogram)?', mass_clean)
if not match:
debug_print(f"❌ 无法解析质量: '{mass_str}'返回0.0g")
return 0.0
value = float(match.group(1))
unit = match.group(2) or 'g' # 默认单位为克
# 转换为克
if unit in ['mg', 'milligram']:
mass = value / 1000.0 # mg -> g
debug_print(f"🔄 质量转换: {value}mg → {mass}g")
elif unit in ['kg', 'kilogram']:
mass = value * 1000.0 # kg -> g
debug_print(f"🔄 质量转换: {value}kg → {mass}g")
else: # g, gram 或默认
mass = value # 已经是g
debug_print(f"✅ 质量已为g: {mass}g")
return mass
def parse_time_input(time_input: Union[str, float]) -> float:
"""
解析时间输入,支持带单位的字符串
Args:
time_input: 时间输入(如 "30 min", "1 h", "?", 60.0
Returns:
float: 时间(秒)
"""
if isinstance(time_input, (int, float)):
debug_print(f"⏱️ 时间输入为数值: {time_input}")
return float(time_input)
if not time_input or not str(time_input).strip():
debug_print(f"⚠️ 时间输入为空返回0秒")
return 0.0
time_str = str(time_input).lower().strip()
debug_print(f"🔍 解析时间输入: '{time_str}'")
# 处理未知时间
if time_str in ['?', 'unknown', 'tbd']:
default_time = 600.0 # 默认10分钟
debug_print(f"❓ 检测到未知时间,使用默认值: {default_time}s (10分钟) ⏰")
return default_time
# 移除空格并提取数字和单位
time_clean = re.sub(r'\s+', '', time_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(s|sec|second|min|minute|h|hr|hour|d|day)?', time_clean)
if not match:
debug_print(f"❌ 无法解析时间: '{time_str}'返回0s")
return 0.0
value = float(match.group(1))
unit = match.group(2) or 's' # 默认单位为秒
# 转换为秒
if unit in ['min', 'minute']:
time_sec = value * 60.0 # min -> s
debug_print(f"🔄 时间转换: {value}分钟 → {time_sec}")
elif unit in ['h', 'hr', 'hour']:
time_sec = value * 3600.0 # h -> s
debug_print(f"🔄 时间转换: {value}小时 → {time_sec}")
elif unit in ['d', 'day']:
time_sec = value * 86400.0 # d -> s
debug_print(f"🔄 时间转换: {value}天 → {time_sec}")
else: # s, sec, second 或默认
time_sec = value # 已经是s
debug_print(f"✅ 时间已为秒: {time_sec}")
return time_sec
def parse_temperature_input(temp_input: Union[str, float]) -> float:
"""
解析温度输入,支持带单位的字符串
Args:
temp_input: 温度输入(如 "60 °C", "room temperature", "?", 25.0
Returns:
float: 温度(摄氏度)
"""
if isinstance(temp_input, (int, float)):
debug_print(f"🌡️ 温度输入为数值: {temp_input}°C")
return float(temp_input)
if not temp_input or not str(temp_input).strip():
debug_print(f"⚠️ 温度输入为空使用默认室温25°C")
return 25.0 # 默认室温
temp_str = str(temp_input).lower().strip()
debug_print(f"🔍 解析温度输入: '{temp_str}'")
# 处理特殊温度描述
temp_aliases = {
'room temperature': 25.0,
'rt': 25.0,
'ambient': 25.0,
'cold': 4.0,
'ice': 0.0,
'reflux': 80.0, # 默认回流温度
'?': 25.0,
'unknown': 25.0
}
if temp_str in temp_aliases:
result = temp_aliases[temp_str]
debug_print(f"🏷️ 温度别名解析: '{temp_str}'{result}°C")
return result
# 移除空格并提取数字和单位
temp_clean = re.sub(r'\s+', '', temp_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(°c|c|celsius|°f|f|fahrenheit|k|kelvin)?', temp_clean)
if not match:
debug_print(f"❌ 无法解析温度: '{temp_str}'使用默认值25°C")
return 25.0
value = float(match.group(1))
unit = match.group(2) or 'c' # 默认单位为摄氏度
# 转换为摄氏度
if unit in ['°f', 'f', 'fahrenheit']:
temp_c = (value - 32) * 5/9 # F -> C
debug_print(f"🔄 温度转换: {value}°F → {temp_c:.1f}°C")
elif unit in ['k', 'kelvin']:
temp_c = value - 273.15 # K -> C
debug_print(f"🔄 温度转换: {value}K → {temp_c:.1f}°C")
else: # °c, c, celsius 或默认
temp_c = value # 已经是C
debug_print(f"✅ 温度已为°C: {temp_c}°C")
return temp_c
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""增强版溶剂容器查找,支持多种匹配模式"""
debug_print(f"🔍 开始查找溶剂 '{solvent}' 的容器...")
# 🔧 方法1直接搜索 data.reagent_name 和 config.reagent
debug_print(f"📋 方法1: 搜索reagent字段...")
for node in G.nodes():
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
config_data = G.nodes[node].get('config', {})
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
config_reagent = config_data.get('reagent', '').lower()
# 精确匹配
if reagent_name == solvent.lower() or config_reagent == solvent.lower():
debug_print(f"✅ 通过reagent字段精确匹配到容器: {node} 🎯")
return node
# 模糊匹配
if (solvent.lower() in reagent_name and reagent_name) or \
(solvent.lower() in config_reagent and config_reagent):
debug_print(f"✅ 通过reagent字段模糊匹配到容器: {node} 🔍")
return node
# 🔧 方法2常见的容器命名规则
debug_print(f"📋 方法2: 使用命名规则查找...")
solvent_clean = solvent.lower().replace(' ', '_').replace('-', '_')
possible_names = [
solvent_clean,
f"flask_{solvent_clean}",
f"bottle_{solvent_clean}",
f"vessel_{solvent_clean}",
f"{solvent_clean}_flask",
f"{solvent_clean}_bottle",
f"solvent_{solvent_clean}",
f"reagent_{solvent_clean}",
f"reagent_bottle_{solvent_clean}",
f"reagent_bottle_1", # 通用试剂瓶
f"reagent_bottle_2",
f"reagent_bottle_3"
]
debug_print(f"🔍 尝试的容器名称: {possible_names[:5]}... (共{len(possible_names)}个)")
for name in possible_names:
if name in G.nodes():
node_type = G.nodes[name].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到容器: {name} 📝")
return name
# 🔧 方法3节点名称模糊匹配
debug_print(f"📋 方法3: 节点名称模糊匹配...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if node_data.get('type') == 'container':
# 检查节点名称是否包含溶剂名称
if solvent_clean in node_id.lower():
debug_print(f"✅ 通过节点名称模糊匹配到容器: {node_id} 🔍")
return node_id
# 检查液体类型匹配
vessel_data = node_data.get('data', {})
liquids = vessel_data.get('liquid', [])
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type.lower() == solvent.lower():
debug_print(f"✅ 通过液体类型匹配到容器: {node_id} 💧")
return node_id
# 🔧 方法4使用第一个试剂瓶作为备选
debug_print(f"📋 方法4: 查找备选试剂瓶...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if (node_data.get('type') == 'container' and
('reagent' in node_id.lower() or 'bottle' in node_id.lower() or 'flask' in node_id.lower())):
debug_print(f"⚠️ 未找到专用容器,使用备选试剂瓶: {node_id} 🔄")
return node_id
debug_print(f"❌ 所有方法都失败了,无法找到容器!")
raise ValueError(f"找不到溶剂 '{solvent}' 对应的容器")
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""查找连接到指定容器的加热搅拌器"""
debug_print(f"🔍 查找连接到容器 '{vessel}' 的加热搅拌器...")
heatchill_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'heatchill' in node_class:
heatchill_nodes.append(node)
debug_print(f"📋 发现加热搅拌器: {node}")
debug_print(f"📊 共找到 {len(heatchill_nodes)} 个加热搅拌器")
# 查找连接到容器的加热器
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
debug_print(f"✅ 找到连接的加热搅拌器: {heatchill} 🔗")
return heatchill
# 返回第一个加热器
if heatchill_nodes:
debug_print(f"⚠️ 未找到直接连接的加热搅拌器,使用第一个: {heatchill_nodes[0]} 🔄")
return heatchill_nodes[0]
debug_print(f"❌ 未找到任何加热搅拌器")
return ""
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找连接到指定容器的搅拌器"""
debug_print(f"🔍 查找连接到容器 '{vessel}' 的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'stirrer' in node_class:
stirrer_nodes.append(node)
debug_print(f"📋 发现搅拌器: {node}")
debug_print(f"📊 共找到 {len(stirrer_nodes)} 个搅拌器")
# 查找连接到容器的搅拌器
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer} 🔗")
return stirrer
# 返回第一个搅拌器
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个: {stirrer_nodes[0]} 🔄")
return stirrer_nodes[0]
debug_print(f"❌ 未找到任何搅拌器")
return ""
def find_solid_dispenser(G: nx.DiGraph) -> str:
"""查找固体加样器"""
debug_print(f"🔍 查找固体加样器...")
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'solid_dispenser' in node_class or 'dispenser' in node_class:
debug_print(f"✅ 找到固体加样器: {node} 🥄")
return node
debug_print(f"❌ 未找到固体加样器")
return ""
def generate_dissolve_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
@@ -53,21 +436,43 @@ def generate_dissolve_protocol(
- mol: "0.12 mol", "16.2 mmol"
"""
# 从字典中提取容器ID
# 🔧 核心修改:从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print(f"溶解协议: vessel={vessel_id}, solvent='{solvent}', volume={volume}, "
f"mass={mass}, temp={temp}, time={time}")
debug_print("=" * 60)
debug_print("🧪 开始生成溶解协议")
debug_print(f"📋 原始参数:")
debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 💧 solvent: '{solvent}'")
debug_print(f" 📏 volume: {volume} (类型: {type(volume)})")
debug_print(f" ⚖️ mass: {mass} (类型: {type(mass)})")
debug_print(f" 🌡️ temp: {temp} (类型: {type(temp)})")
debug_print(f" ⏱️ time: {time} (类型: {type(time)})")
debug_print(f" 🧪 reagent: '{reagent}'")
debug_print(f" 🧬 mol: '{mol}'")
debug_print(f" 🎯 event: '{event}'")
debug_print(f" 📦 kwargs: {kwargs}") # 显示额外参数
debug_print("=" * 60)
action_sequence = []
# === 参数验证 ===
debug_print("🔍 步骤1: 参数验证...")
action_sequence.append(create_action_log(f"开始溶解操作 - 容器: {vessel_id}", "🎬"))
if not vessel_id:
debug_print("❌ vessel 参数不能为空")
raise ValueError("vessel 参数不能为空")
if vessel_id not in G.nodes():
debug_print(f"❌ 容器 '{vessel_id}' 不存在于系统中")
raise ValueError(f"容器 '{vessel_id}' 不存在于系统中")
# 记录溶解前的容器状态
debug_print("✅ 基本参数验证通过")
action_sequence.append(create_action_log("参数验证通过", ""))
# 🔧 新增:记录溶解前的容器状态
debug_print("🔍 记录溶解前容器状态...")
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -75,16 +480,30 @@ def generate_dissolve_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
# === 参数解析 ===
debug_print(f"📊 溶解前液体体积: {original_liquid_volume:.2f}mL")
# === 🔧 关键修复:参数解析 ===
debug_print("🔍 步骤2: 参数解析...")
action_sequence.append(create_action_log("正在解析溶解参数...", "🔍"))
# 解析各种参数为数值
final_volume = parse_volume_input(volume)
final_mass = parse_mass_input(mass)
final_temp = parse_temperature_input(temp)
final_time = parse_time_input(time)
debug_print(f"参数解析: vol={final_volume}mL, mass={final_mass}g, temp={final_temp}°C, time={final_time}s")
debug_print(f"📊 解析结果:")
debug_print(f" 📏 体积: {final_volume}mL")
debug_print(f" ⚖️ 质量: {final_mass}g")
debug_print(f" 🌡️ 温度: {final_temp}°C")
debug_print(f" ⏱️ 时间: {final_time}s")
debug_print(f" 🧪 试剂: '{reagent}'")
debug_print(f" 🧬 摩尔: '{mol}'")
debug_print(f" 🎯 事件: '{event}'")
# === 判断溶解类型 ===
debug_print("🔍 步骤3: 判断溶解类型...")
action_sequence.append(create_action_log("正在判断溶解类型...", "🔍"))
# 判断是固体溶解还是液体溶解
is_solid_dissolve = (final_mass > 0 or (mol and mol.strip() != "") or (reagent and reagent.strip() != ""))
@@ -96,31 +515,49 @@ def generate_dissolve_protocol(
final_volume = 50.0
if not solvent:
solvent = "water" # 默认溶剂
debug_print("未明确指定溶解参数默认为50mL水溶解")
debug_print("⚠️ 未明确指定溶解参数默认为50mL水溶解")
dissolve_type = "固体溶解" if is_solid_dissolve else "液体溶解"
debug_print(f"溶解类型: {dissolve_type}")
action_sequence.append(create_action_log(f"溶解类型: {dissolve_type}", "📋"))
dissolve_emoji = "🧂" if is_solid_dissolve else "💧"
debug_print(f"📋 溶解类型: {dissolve_type} {dissolve_emoji}")
action_sequence.append(create_action_log(f"确定溶解类型: {dissolve_type} {dissolve_emoji}", "📋"))
# === 查找设备 ===
debug_print("🔍 步骤4: 查找设备...")
action_sequence.append(create_action_log("正在查找相关设备...", "🔍"))
# 查找加热搅拌器
heatchill_id = find_connected_heatchill(G, vessel_id)
stirrer_id = find_connected_stirrer(G, vessel_id)
# 优先使用加热搅拌器,否则使用独立搅拌器
stir_device_id = heatchill_id or stirrer_id
debug_print(f"设备: heatchill='{heatchill_id}', stirrer='{stirrer_id}'")
if not stir_device_id:
debug_print(f"📊 设备映射:")
debug_print(f" 🔥 加热器: '{heatchill_id}'")
debug_print(f" 🌪️ 搅拌器: '{stirrer_id}'")
debug_print(f" 🎯 使用设备: '{stir_device_id}'")
if heatchill_id:
action_sequence.append(create_action_log(f"找到加热搅拌器: {heatchill_id}", "🔥"))
elif stirrer_id:
action_sequence.append(create_action_log(f"找到搅拌器: {stirrer_id}", "🌪️"))
else:
action_sequence.append(create_action_log("未找到搅拌设备,将跳过搅拌", "⚠️"))
# === 执行溶解流程 ===
debug_print("🔍 步骤5: 执行溶解流程...")
try:
# 启动加热搅拌(如果需要)
# 步骤5.1: 启动加热搅拌(如果需要)
if stir_device_id and (final_temp > 25.0 or final_time > 0 or stir_speed > 0):
debug_print(f"🔍 5.1: 启动加热搅拌,温度: {final_temp}°C")
action_sequence.append(create_action_log(f"准备加热搅拌 (目标温度: {final_temp}°C)", "🔥"))
if heatchill_id and (final_temp > 25.0 or final_time > 0):
# 使用加热搅拌器
action_sequence.append(create_action_log(f"启动加热搅拌器 {heatchill_id}", "🔥"))
heatchill_action = {
"device_id": heatchill_id,
@@ -136,6 +573,7 @@ def generate_dissolve_protocol(
# 等待温度稳定
if final_temp > 25.0:
wait_time = min(60, abs(final_temp - 25.0) * 1.5)
action_sequence.append(create_action_log(f"等待温度稳定 ({wait_time:.0f}秒)", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": wait_time}
@@ -143,6 +581,7 @@ def generate_dissolve_protocol(
elif stirrer_id:
# 使用独立搅拌器
action_sequence.append(create_action_log(f"启动搅拌器 {stirrer_id} (速度: {stir_speed}rpm)", "🌪️"))
stir_action = {
"device_id": stirrer_id,
@@ -154,8 +593,9 @@ def generate_dissolve_protocol(
}
}
action_sequence.append(stir_action)
# 等待搅拌稳定
action_sequence.append(create_action_log("等待搅拌稳定...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
@@ -163,8 +603,12 @@ def generate_dissolve_protocol(
if is_solid_dissolve:
# === 固体溶解路径 ===
debug_print(f"🔍 5.2: 使用固体溶解路径")
action_sequence.append(create_action_log("开始固体溶解流程", "🧂"))
solid_dispenser = find_solid_dispenser(G)
if solid_dispenser:
action_sequence.append(create_action_log(f"找到固体加样器: {solid_dispenser}", "🥄"))
# 固体加样
add_kwargs = {
@@ -176,27 +620,42 @@ def generate_dissolve_protocol(
if final_mass > 0:
add_kwargs["mass"] = str(final_mass)
action_sequence.append(create_action_log(f"准备添加固体: {final_mass}g", "⚖️"))
if mol and mol.strip():
add_kwargs["mol"] = mol
action_sequence.append(create_action_log(f"按摩尔数添加: {mol}", "🧬"))
action_sequence.append(create_action_log("开始固体加样操作", "🥄"))
action_sequence.append({
"device_id": solid_dispenser,
"action_name": "add_solid",
"action_kwargs": add_kwargs
})
# 固体溶解体积运算 - 固体本身不会显著增加体积
debug_print(f"✅ 固体加样完成")
action_sequence.append(create_action_log("固体加样完成", ""))
# 🔧 新增:固体溶解体积运算 - 固体本身不会显著增加体积,但可能有少量变化
debug_print(f"🔧 固体溶解 - 体积变化很小,主要是质量变化")
# 固体通常不会显著改变液体体积,这里只记录日志
action_sequence.append(create_action_log(f"固体已添加: {final_mass}g", "📊"))
else:
debug_print("未找到固体加样器,跳过固体添加")
debug_print("⚠️ 未找到固体加样器,跳过固体添加")
action_sequence.append(create_action_log("未找到固体加样器,无法添加固体", ""))
elif is_liquid_dissolve:
# === 液体溶解路径 ===
debug_print(f"🔍 5.3: 使用液体溶解路径")
action_sequence.append(create_action_log("开始液体溶解流程", "💧"))
# 查找溶剂容器
action_sequence.append(create_action_log("正在查找溶剂容器...", "🔍"))
try:
solvent_vessel = find_solvent_vessel(G, solvent)
action_sequence.append(create_action_log(f"找到溶剂容器: {solvent_vessel}", "🧪"))
except ValueError as e:
debug_print(f"溶剂容器查找失败: {str(e)},跳过溶剂添加")
debug_print(f"⚠️ {str(e)},跳过溶剂添加")
action_sequence.append(create_action_log(f"溶剂容器查找失败: {str(e)}", ""))
solvent_vessel = None
@@ -204,7 +663,10 @@ def generate_dissolve_protocol(
# 计算流速 - 溶解时通常用较慢的速度,避免飞溅
flowrate = 1.0 # 较慢的注入速度
transfer_flowrate = 0.5 # 较慢的转移速度
action_sequence.append(create_action_log(f"设置流速: {flowrate}mL/min (缓慢注入)", ""))
action_sequence.append(create_action_log(f"开始转移 {final_volume}mL {solvent}", "🚰"))
# 调用pump protocol
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
@@ -226,9 +688,12 @@ def generate_dissolve_protocol(
**kwargs
)
action_sequence.extend(pump_actions)
# 液体溶解体积运算 - 添加溶剂后更新容器体积
debug_print(f"✅ 溶剂转移完成,添加了 {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"溶剂转移完成 ({len(pump_actions)} 个操作)", ""))
# 🔧 新增:液体溶解体积运算 - 添加溶剂后更新容器体积
debug_print(f"🔧 更新容器液体体积 - 添加溶剂 {final_volume:.2f}mL")
# 确保vessel有data字段
if "data" not in vessel:
vessel["data"] = {}
@@ -238,14 +703,19 @@ def generate_dissolve_protocol(
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] += final_volume
debug_print(f"📊 添加溶剂后体积: {vessel['data']['liquid_volume'][0]:.2f}mL (+{final_volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = [final_volume]
debug_print(f"📊 初始化溶解体积: {final_volume:.2f}mL")
elif isinstance(current_volume, (int, float)):
vessel["data"]["liquid_volume"] += final_volume
debug_print(f"📊 添加溶剂后体积: {vessel['data']['liquid_volume']:.2f}mL (+{final_volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = final_volume
debug_print(f"📊 重置体积为: {final_volume:.2f}mL")
else:
vessel["data"]["liquid_volume"] = final_volume
debug_print(f"📊 创建新体积记录: {final_volume:.2f}mL")
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
@@ -262,19 +732,27 @@ def generate_dissolve_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [final_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = current_node_volume + final_volume
debug_print(f"✅ 图节点体积数据已更新")
action_sequence.append(create_action_log(f"容器体积已更新 (+{final_volume:.2f}mL)", "📊"))
# 溶剂添加后等待
action_sequence.append(create_action_log("溶剂添加后短暂等待...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
# 等待溶解完成
# 步骤5.4: 等待溶解完成
if final_time > 0:
debug_print(f"🔍 5.4: 等待溶解完成 - {final_time}s")
wait_minutes = final_time / 60
action_sequence.append(create_action_log(f"开始溶解等待 ({wait_minutes:.1f}分钟)", ""))
if heatchill_id:
# 使用定时加热搅拌
action_sequence.append(create_action_log(f"使用加热搅拌器进行定时溶解", "🔥"))
dissolve_action = {
"device_id": heatchill_id,
@@ -292,6 +770,7 @@ def generate_dissolve_protocol(
elif stirrer_id:
# 使用定时搅拌
action_sequence.append(create_action_log(f"使用搅拌器进行定时溶解", "🌪️"))
stir_action = {
"device_id": stirrer_id,
@@ -308,6 +787,7 @@ def generate_dissolve_protocol(
else:
# 简单等待
action_sequence.append(create_action_log(f"简单等待溶解完成", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": final_time}
@@ -315,7 +795,9 @@ def generate_dissolve_protocol(
# 步骤5.5: 停止加热搅拌(如果需要)
if heatchill_id and final_time == 0 and final_temp > 25.0:
debug_print(f"🔍 5.5: 停止加热器")
action_sequence.append(create_action_log("停止加热搅拌器", "🛑"))
stop_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_stop",
@@ -326,7 +808,7 @@ def generate_dissolve_protocol(
action_sequence.append(stop_action)
except Exception as e:
debug_print(f"溶解流程执行失败: {str(e)}")
debug_print(f"溶解流程执行失败: {str(e)}")
action_sequence.append(create_action_log(f"溶解流程失败: {str(e)}", ""))
# 添加错误日志
action_sequence.append({
@@ -347,8 +829,23 @@ def generate_dissolve_protocol(
final_liquid_volume = current_volume
# === 最终结果 ===
debug_print(f"溶解协议完成: {vessel_id}, 类型={dissolve_type}, "
f"动作数={len(action_sequence)}, 体积={original_liquid_volume:.2f}{final_liquid_volume:.2f}mL")
debug_print("=" * 60)
debug_print(f"🎉 溶解协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" 🥼 容器: {vessel_id}")
debug_print(f" {dissolve_emoji} 溶解类型: {dissolve_type}")
if is_liquid_dissolve:
debug_print(f" 💧 溶剂: {solvent} ({final_volume}mL)")
if is_solid_dissolve:
debug_print(f" 🧪 试剂: {reagent}")
debug_print(f" ⚖️ 质量: {final_mass}g")
debug_print(f" 🧬 摩尔: {mol}")
debug_print(f" 🌡️ 温度: {final_temp}°C")
debug_print(f" ⏱️ 时间: {final_time}s")
debug_print(f" 📊 溶解前体积: {original_liquid_volume:.2f}mL")
debug_print(f" 📊 溶解后体积: {final_liquid_volume:.2f}mL")
debug_print("=" * 60)
# 添加完成日志
summary_msg = f"溶解协议完成: {vessel_id}"
@@ -357,7 +854,7 @@ def generate_dissolve_protocol(
if is_solid_dissolve:
summary_msg += f" (溶解 {final_mass}g {reagent})"
action_sequence.append(create_action_log(summary_msg, ""))
action_sequence.append(create_action_log(summary_msg, "🎉"))
return action_sequence
@@ -369,7 +866,7 @@ def dissolve_solid_by_mass(G: nx.DiGraph, vessel: dict, reagent: str, mass: Unio
temp: Union[str, float] = 25.0, time: Union[str, float] = "10 min") -> List[Dict[str, Any]]:
"""按质量溶解固体"""
vessel_id = vessel["id"]
debug_print(f"快速固体溶解: {reagent} ({mass}) → {vessel_id}")
debug_print(f"🧂 快速固体溶解: {reagent} ({mass}) → {vessel_id}")
return generate_dissolve_protocol(
G, vessel,
mass=mass,
@@ -382,7 +879,7 @@ def dissolve_solid_by_moles(G: nx.DiGraph, vessel: dict, reagent: str, mol: str,
temp: Union[str, float] = 25.0, time: Union[str, float] = "10 min") -> List[Dict[str, Any]]:
"""按摩尔数溶解固体"""
vessel_id = vessel["id"]
debug_print(f"按摩尔数溶解固体: {reagent} ({mol}) → {vessel_id}")
debug_print(f"🧬 按摩尔数溶解固体: {reagent} ({mol}) → {vessel_id}")
return generate_dissolve_protocol(
G, vessel,
mol=mol,
@@ -395,7 +892,7 @@ def dissolve_with_solvent(G: nx.DiGraph, vessel: dict, solvent: str, volume: Uni
temp: Union[str, float] = 25.0, time: Union[str, float] = "5 min") -> List[Dict[str, Any]]:
"""用溶剂溶解"""
vessel_id = vessel["id"]
debug_print(f"溶剂溶解: {solvent} ({volume}) → {vessel_id}")
debug_print(f"💧 溶剂溶解: {solvent} ({volume}) → {vessel_id}")
return generate_dissolve_protocol(
G, vessel,
solvent=solvent,
@@ -407,7 +904,7 @@ def dissolve_with_solvent(G: nx.DiGraph, vessel: dict, solvent: str, volume: Uni
def dissolve_at_room_temp(G: nx.DiGraph, vessel: dict, solvent: str, volume: Union[str, float]) -> List[Dict[str, Any]]:
"""室温溶解"""
vessel_id = vessel["id"]
debug_print(f"室温溶解: {solvent} ({volume}) → {vessel_id}")
debug_print(f"🌡️ 室温溶解: {solvent} ({volume}) → {vessel_id}")
return generate_dissolve_protocol(
G, vessel,
solvent=solvent,
@@ -420,7 +917,7 @@ def dissolve_with_heating(G: nx.DiGraph, vessel: dict, solvent: str, volume: Uni
temp: Union[str, float] = "60 °C", time: Union[str, float] = "15 min") -> List[Dict[str, Any]]:
"""加热溶解"""
vessel_id = vessel["id"]
debug_print(f"加热溶解: {solvent} ({volume}) → {vessel_id} @ {temp}")
debug_print(f"🔥 加热溶解: {solvent} ({volume}) → {vessel_id} @ {temp}")
return generate_dissolve_protocol(
G, vessel,
solvent=solvent,
@@ -432,31 +929,37 @@ def dissolve_with_heating(G: nx.DiGraph, vessel: dict, solvent: str, volume: Uni
# 测试函数
def test_dissolve_protocol():
"""测试溶解协议的各种参数解析"""
debug_print("=== DISSOLVE PROTOCOL 增强版测试 ===")
# 测试体积解析
debug_print("💧 测试体积解析...")
volumes = ["10 mL", "?", 10.0, "1 L", "500 μL"]
for vol in volumes:
result = parse_volume_input(vol)
debug_print(f"体积解析: {vol}{result}mL")
debug_print(f"📏 体积解析: {vol}{result}mL")
# 测试质量解析
debug_print("⚖️ 测试质量解析...")
masses = ["2.9 g", "?", 2.5, "500 mg"]
for mass in masses:
result = parse_mass_input(mass)
debug_print(f"质量解析: {mass}{result}g")
debug_print(f"⚖️ 质量解析: {mass}{result}g")
# 测试温度解析
debug_print("🌡️ 测试温度解析...")
temps = ["60 °C", "room temperature", "?", 25.0, "reflux"]
for temp in temps:
result = parse_temperature_input(temp)
debug_print(f"温度解析: {temp}{result}°C")
debug_print(f"🌡️ 温度解析: {temp}{result}°C")
# 测试时间解析
debug_print("⏱️ 测试时间解析...")
times = ["30 min", "1 h", "?", 60.0]
for time in times:
result = parse_time_input(time)
debug_print(f"时间解析: {time}{result}s")
debug_print("测试完成")
debug_print(f"⏱️ 时间解析: {time}{result}s")
debug_print("测试完成")
if __name__ == "__main__":
test_dissolve_protocol()

View File

@@ -1,40 +1,87 @@
import networkx as nx
from typing import List, Dict, Any
from .utils.vessel_parser import get_vessel, find_connected_heatchill
from .utils.logger_util import debug_print
from unilabos.compile.utils.vessel_parser import get_vessel
def find_connected_heater(G: nx.DiGraph, vessel: str) -> str:
"""
查找与容器相连的加热器
Args:
G: 网络图
vessel: 容器名称
Returns:
str: 加热器ID如果没有则返回None
"""
print(f"DRY: 正在查找与容器 '{vessel}' 相连的加热器...")
# 查找所有加热器节点
heater_nodes = [node for node in G.nodes()
if ('heater' in node.lower() or
'heat' in node.lower() or
G.nodes[node].get('class') == 'virtual_heatchill' or
G.nodes[node].get('type') == 'heater')]
print(f"DRY: 找到的加热器节点: {heater_nodes}")
# 检查是否有加热器与目标容器相连
for heater in heater_nodes:
if G.has_edge(heater, vessel) or G.has_edge(vessel, heater):
print(f"DRY: 找到与容器 '{vessel}' 相连的加热器: {heater}")
return heater
# 如果没有直接连接,查找距离最近的加热器
for heater in heater_nodes:
try:
path = nx.shortest_path(G, source=heater, target=vessel)
if len(path) <= 3: # 最多2个中间节点
print(f"DRY: 找到距离较近的加热器: {heater}, 路径: {''.join(path)}")
return heater
except nx.NetworkXNoPath:
continue
print(f"DRY: 未找到与容器 '{vessel}' 相连的加热器")
return None
def generate_dry_protocol(
G: nx.DiGraph,
vessel: dict,
compound: str = "",
**kwargs
vessel: dict, # 🔧 修改:从字符串改为字典类型
compound: str = "", # 🔧 修改:参数顺序调整,并设置默认值
**kwargs # 接收其他可能的参数但不使用
) -> List[Dict[str, Any]]:
"""
生成干燥协议序列
Args:
G: 有向图,节点为容器和设备
vessel: 目标容器字典从XDL传入
compound: 化合物名称从XDL传入可选
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
# 默认参数
dry_temp = 60.0
dry_time = 3600.0
simulation_time = 60.0
debug_print(f"开始生成干燥协议: vessel={vessel_id}, compound={compound or '未指定'}, temp={dry_temp}°C")
# 记录干燥前的容器状态
dry_temp = 60.0 # 默认干燥温度 60°C
dry_time = 3600.0 # 默认干燥时间 1小时3600秒
simulation_time = 60.0 # 模拟时间 1分钟
print(f"🌡️ DRY: 开始生成干燥协议 ✨")
print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
print(f" 🧪 化合物: {compound or '未指定'}")
print(f" 🔥 干燥温度: {dry_temp}°C")
print(f" ⏰ 干燥时间: {dry_time/60:.0f} 分钟")
# 🔧 新增:记录干燥前的容器状态
print(f"🔍 记录干燥前容器状态...")
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -42,30 +89,39 @@ def generate_dry_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
print(f"📊 干燥前液体体积: {original_liquid_volume:.2f}mL")
# 1. 验证目标容器存在
print(f"\n📋 步骤1: 验证目标容器 '{vessel_id}' 是否存在...")
if vessel_id not in G.nodes():
debug_print(f"容器 '{vessel_id}' 不存在于系统中,跳过干燥")
print(f"⚠️ DRY: 警告 - 容器 '{vessel_id}' 不存在于系统中,跳过干燥 😢")
return action_sequence
print(f"✅ 容器 '{vessel_id}' 验证通过!")
# 2. 查找相连的加热器
heater_id = find_connected_heatchill(G, vessel_id)
print(f"\n🔍 步骤2: 查找与容器相连的加热器...")
heater_id = find_connected_heater(G, vessel_id) # 🔧 使用 vessel_id
if heater_id is None:
debug_print(f"未找到与容器 '{vessel_id}' 相连的加热器,添加模拟干燥动作")
print(f"😭 DRY: 警告 - 未找到与容器 '{vessel_id}' 相连的加热器,跳过干燥")
print(f"🎭 添加模拟干燥动作...")
# 添加一个等待动作,表示干燥过程(模拟)
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 10.0,
"time": 10.0, # 模拟等待时间
"description": f"模拟干燥 {compound or '化合物'} (无加热器可用)"
}
})
# 模拟干燥的体积变化
# 🔧 新增:模拟干燥的体积变化(溶剂蒸发)
print(f"🔧 模拟干燥过程的体积减少...")
if original_liquid_volume > 0:
# 假设干燥过程中损失10%的体积(溶剂蒸发)
volume_loss = original_liquid_volume * 0.1
new_volume = max(0.0, original_liquid_volume - volume_loss)
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -77,14 +133,15 @@ def generate_dry_protocol(
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
@@ -92,27 +149,33 @@ def generate_dry_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"模拟干燥体积变化: {original_liquid_volume:.2f}mL -> {new_volume:.2f}mL")
debug_print(f"协议生成完成,共 {len(action_sequence)} 个动作")
print(f"📊 模拟干燥体积变化: {original_liquid_volume:.2f}mL {new_volume:.2f}mL (-{volume_loss:.2f}mL)")
print(f"📄 DRY: 协议生成完成,共 {len(action_sequence)} 个动作 🎯")
return action_sequence
debug_print(f"找到加热器: {heater_id}")
print(f"🎉 找到加热器: {heater_id}!")
# 3. 启动加热器进行干燥
print(f"\n🚀 步骤3: 开始执行干燥流程...")
print(f"🔥 启动加热器 {heater_id} 进行干燥")
# 3.1 启动加热
print(f" ⚡ 动作1: 启动加热到 {dry_temp}°C...")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"temp": dry_temp,
"purpose": f"干燥 {compound or '化合物'}"
}
})
print(f" ✅ 加热器启动命令已添加 🔥")
# 3.2 等待温度稳定
print(f" ⏳ 动作2: 等待温度稳定...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -120,27 +183,34 @@ def generate_dry_protocol(
"description": f"等待温度稳定到 {dry_temp}°C"
}
})
print(f" ✅ 温度稳定等待命令已添加 🌡️")
# 3.3 保持干燥温度
print(f" 🔄 动作3: 保持干燥温度 {simulation_time/60:.0f} 分钟...")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"temp": dry_temp,
"time": simulation_time,
"purpose": f"干燥 {compound or '化合物'},保持温度 {dry_temp}°C"
}
})
# 干燥过程中的体积变化计算
print(f" ✅ 温度保持命令已添加 🌡️⏰")
# 🔧 新增:干燥过程中的体积变化计算
print(f"🔧 计算干燥过程中的体积变化...")
if original_liquid_volume > 0:
evaporation_rate = 0.001 * dry_temp
total_evaporation = min(original_liquid_volume * 0.8,
evaporation_rate * simulation_time)
# 干燥过程中,溶剂会蒸发,固体保留
# 根据温度和时间估算蒸发量
evaporation_rate = 0.001 * dry_temp # 每秒每°C蒸发0.001mL
total_evaporation = min(original_liquid_volume * 0.8,
evaporation_rate * simulation_time) # 最多蒸发80%
new_volume = max(0.0, original_liquid_volume - total_evaporation)
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -152,14 +222,15 @@ def generate_dry_protocol(
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
@@ -167,29 +238,37 @@ def generate_dry_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"干燥体积变化: {original_liquid_volume:.2f}mL -> {new_volume:.2f}mL (-{total_evaporation:.2f}mL)")
print(f"📊 干燥体积变化计算:")
print(f" - 初始体积: {original_liquid_volume:.2f}mL")
print(f" - 蒸发量: {total_evaporation:.2f}mL")
print(f" - 剩余体积: {new_volume:.2f}mL")
print(f" - 蒸发率: {(total_evaporation/original_liquid_volume*100):.1f}%")
# 3.4 停止加热
print(f" ⏹️ 动作4: 停止加热...")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"purpose": f"干燥完成,停止加热"
}
})
print(f" ✅ 停止加热命令已添加 🛑")
# 3.5 等待冷却
print(f" ❄️ 动作5: 等待冷却...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 10.0,
"time": 10.0, # 等待10秒冷却
"description": f"等待 {compound or '化合物'} 冷却"
}
})
# 最终状态
print(f" ✅ 冷却等待命令已添加 🧊")
# 🔧 新增:干燥完成后的状态报告
final_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -197,37 +276,60 @@ def generate_dry_protocol(
final_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
final_liquid_volume = current_volume
debug_print(f"干燥协议生成完成: {len(action_sequence)} 个动作, 体积 {original_liquid_volume:.2f} -> {final_liquid_volume:.2f}mL")
print(f"\n🎊 DRY: 协议生成完成,共 {len(action_sequence)} 个动作 🎯")
print(f"⏱️ DRY: 预计总时间: {(simulation_time + 30)/60:.0f} 分钟 ⌛")
print(f"📊 干燥结果:")
print(f" - 容器: {vessel_id}")
print(f" - 化合物: {compound or '未指定'}")
print(f" - 干燥前体积: {original_liquid_volume:.2f}mL")
print(f" - 干燥后体积: {final_liquid_volume:.2f}mL")
print(f" - 蒸发体积: {(original_liquid_volume - final_liquid_volume):.2f}mL")
print(f"🏁 所有动作序列准备就绪! ✨")
return action_sequence
# 便捷函数
def generate_quick_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
# 🔧 新增:便捷函数
def generate_quick_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
temp: float = 40.0, time: float = 30.0) -> List[Dict[str, Any]]:
"""快速干燥:低温短时间"""
vessel_id = vessel["id"]
print(f"🌡️ 快速干燥: {compound or '化合物'}{vessel_id} @ {temp}°C ({time}min)")
# 临时修改默认参数
import types
temp_func = types.FunctionType(
generate_dry_protocol.__code__,
generate_dry_protocol.__globals__
)
# 直接调用原函数,但修改内部参数
return generate_dry_protocol(G, vessel, compound)
def generate_thorough_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
def generate_thorough_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
temp: float = 80.0, time: float = 120.0) -> List[Dict[str, Any]]:
"""深度干燥:高温长时间"""
vessel_id = vessel["id"]
print(f"🔥 深度干燥: {compound or '化合物'}{vessel_id} @ {temp}°C ({time}min)")
return generate_dry_protocol(G, vessel, compound)
def generate_gentle_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
def generate_gentle_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
temp: float = 30.0, time: float = 180.0) -> List[Dict[str, Any]]:
"""温和干燥:低温长时间"""
vessel_id = vessel["id"]
print(f"🌡️ 温和干燥: {compound or '化合物'}{vessel_id} @ {temp}°C ({time}min)")
return generate_dry_protocol(G, vessel, compound)
# 测试函数
def test_dry_protocol():
"""测试干燥协议"""
debug_print("=== DRY PROTOCOL 测试 ===")
debug_print("测试完成")
print("=== DRY PROTOCOL 测试 ===")
print("测试完成")
if __name__ == "__main__":
test_dry_protocol()
test_dry_protocol()

View File

@@ -3,14 +3,38 @@ from functools import partial
import networkx as nx
import logging
import uuid
import sys
from typing import List, Dict, Any, Optional
from .utils.vessel_parser import get_vessel, find_connected_stirrer
from .utils.logger_util import debug_print, action_log
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .pump_protocol import generate_pump_protocol_with_rinsing, generate_pump_protocol
# 设置日志
logger = logging.getLogger(__name__)
# 确保输出编码为UTF-8
if hasattr(sys.stdout, 'reconfigure'):
try:
sys.stdout.reconfigure(encoding='utf-8')
sys.stderr.reconfigure(encoding='utf-8')
except:
pass
def debug_print(message):
"""调试输出函数 - 支持中文"""
try:
# 确保消息是字符串格式
safe_message = str(message)
logger.info(f"[抽真空充气] {safe_message}")
except UnicodeEncodeError:
# 如果编码失败,尝试替换不支持的字符
safe_message = str(message).encode('utf-8', errors='replace').decode('utf-8')
logger.info(f"[抽真空充气] {safe_message}")
except Exception as e:
# 最后的安全措施
fallback_message = f"日志输出错误: {repr(message)}"
logger.info(f"[抽真空充气] {fallback_message}")
create_action_log = partial(action_log, prefix="[抽真空充气]")
def find_gas_source(G: nx.DiGraph, gas: str) -> str:
@@ -20,9 +44,10 @@ def find_gas_source(G: nx.DiGraph, gas: str) -> str:
2. 气体类型匹配data.gas_type
3. 默认气源
"""
debug_print(f"正在查找气体 '{gas}' 的气源...")
# 通过容器名称匹配
debug_print(f"🔍 正在查找气体 '{gas}' 的气源...")
# 第一步:通过容器名称匹配
debug_print(f"📋 方法1: 容器名称匹配...")
gas_source_patterns = [
f"gas_source_{gas}",
f"gas_{gas}",
@@ -32,178 +57,254 @@ def find_gas_source(G: nx.DiGraph, gas: str) -> str:
f"reagent_bottle_{gas}",
f"bottle_{gas}"
]
debug_print(f"🎯 尝试的容器名称: {gas_source_patterns}")
for pattern in gas_source_patterns:
if pattern in G.nodes():
debug_print(f"通过名称找到气源: {pattern}")
debug_print(f"通过名称找到气源: {pattern}")
return pattern
# 通过气体类型匹配 (data.gas_type)
# 第二步:通过气体类型匹配 (data.gas_type)
debug_print(f"📋 方法2: 气体类型匹配...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
node_class = node_data.get('class', '') or ''
if ('gas_source' in node_class or
'gas' in node_id.lower() or
# 检查是否是气源设备
if ('gas_source' in node_class or
'gas' in node_id.lower() or
node_id.startswith('flask_')):
# 检查 data.gas_type
data = node_data.get('data', {})
gas_type = data.get('gas_type', '')
if gas_type.lower() == gas.lower():
debug_print(f"通过气体类型找到气源: {node_id} (气体类型: {gas_type})")
debug_print(f"通过气体类型找到气源: {node_id} (气体类型: {gas_type})")
return node_id
# 检查 config.gas_type
config = node_data.get('config', {})
config_gas_type = config.get('gas_type', '')
if config_gas_type.lower() == gas.lower():
debug_print(f"通过配置气体类型找到气源: {node_id} (配置气体类型: {config_gas_type})")
debug_print(f"通过配置气体类型找到气源: {node_id} (配置气体类型: {config_gas_type})")
return node_id
# 查找所有可用的气源设备
# 第三步:查找所有可用的气源设备
debug_print(f"📋 方法3: 查找可用气源...")
available_gas_sources = []
for node_id in G.nodes():
node_data = G.nodes[node_id]
node_class = node_data.get('class', '') or ''
if ('gas_source' in node_class or
if ('gas_source' in node_class or
'gas' in node_id.lower() or
(node_id.startswith('flask_') and any(g in node_id.lower() for g in ['air', 'nitrogen', 'argon']))):
data = node_data.get('data', {})
gas_type = data.get('gas_type', '未知')
available_gas_sources.append(f"{node_id} (气体类型: {gas_type})")
# 如果找不到特定气体,使用默认的第一个气源
debug_print(f"📊 可用气源: {available_gas_sources}")
# 第四步:如果找不到特定气体,使用默认的第一个气源
debug_print(f"📋 方法4: 查找默认气源...")
default_gas_sources = [
node for node in G.nodes()
node for node in G.nodes()
if ((G.nodes[node].get('class') or '').find('virtual_gas_source') != -1
or 'gas_source' in node)
]
if default_gas_sources:
default_source = default_gas_sources[0]
debug_print(f"未找到特定气体 '{gas}',使用默认气源: {default_source}")
debug_print(f"⚠️ 未找到特定气体 '{gas}',使用默认气源: {default_source}")
return default_source
debug_print(f"❌ 所有方法都失败了!")
raise ValueError(f"无法找到气体 '{gas}' 的气源。可用气源: {available_gas_sources}")
def find_vacuum_pump(G: nx.DiGraph) -> str:
"""查找真空泵设备"""
debug_print("🔍 正在查找真空泵...")
vacuum_pumps = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('virtual_vacuum_pump' in node_class or
'vacuum_pump' in node.lower() or
if ('virtual_vacuum_pump' in node_class or
'vacuum_pump' in node.lower() or
'vacuum' in node_class.lower()):
vacuum_pumps.append(node)
debug_print(f"📋 发现真空泵: {node}")
if not vacuum_pumps:
debug_print(f"❌ 系统中未找到真空泵")
raise ValueError("系统中未找到真空泵")
debug_print(f"使用真空泵: {vacuum_pumps[0]}")
debug_print(f"使用真空泵: {vacuum_pumps[0]}")
return vacuum_pumps[0]
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> Optional[str]:
"""查找与指定容器相连的搅拌器"""
debug_print(f"🔍 正在查找与容器 {vessel} 连接的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'virtual_stirrer' in node_class or 'stirrer' in node.lower():
stirrer_nodes.append(node)
debug_print(f"📋 发现搅拌器: {node}")
debug_print(f"📊 找到的搅拌器总数: {len(stirrer_nodes)}")
# 检查哪个搅拌器与目标容器相连
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer}")
return stirrer
# 如果没有连接的搅拌器,返回第一个可用的
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个可用的: {stirrer_nodes[0]}")
return stirrer_nodes[0]
debug_print("❌ 未找到搅拌器")
return None
def find_vacuum_solenoid_valve(G: nx.DiGraph, vacuum_pump: str) -> Optional[str]:
"""查找真空泵相关的电磁阀"""
debug_print(f"🔍 正在查找真空泵 {vacuum_pump} 的电磁阀...")
# 查找所有电磁阀
solenoid_valves = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('solenoid' in node_class.lower() or 'solenoid_valve' in node.lower()):
solenoid_valves.append(node)
debug_print(f"📋 发现电磁阀: {node}")
debug_print(f"📊 找到的电磁阀: {solenoid_valves}")
# 检查连接关系
debug_print(f"📋 方法1: 检查连接关系...")
for solenoid in solenoid_valves:
if G.has_edge(solenoid, vacuum_pump) or G.has_edge(vacuum_pump, solenoid):
debug_print(f"找到连接的真空电磁阀: {solenoid}")
debug_print(f"找到连接的真空电磁阀: {solenoid}")
return solenoid
# 通过命名规则查找
debug_print(f"📋 方法2: 检查命名规则...")
for solenoid in solenoid_valves:
if 'vacuum' in solenoid.lower() or solenoid == 'solenoid_valve_1':
debug_print(f"通过命名找到真空电磁阀: {solenoid}")
debug_print(f"通过命名找到真空电磁阀: {solenoid}")
return solenoid
debug_print("未找到真空电磁阀")
debug_print("⚠️ 未找到真空电磁阀")
return None
def find_gas_solenoid_valve(G: nx.DiGraph, gas_source: str) -> Optional[str]:
"""查找气源相关的电磁阀"""
debug_print(f"🔍 正在查找气源 {gas_source} 的电磁阀...")
# 查找所有电磁阀
solenoid_valves = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('solenoid' in node_class.lower() or 'solenoid_valve' in node.lower()):
solenoid_valves.append(node)
debug_print(f"📊 找到的电磁阀: {solenoid_valves}")
# 检查连接关系
debug_print(f"📋 方法1: 检查连接关系...")
for solenoid in solenoid_valves:
if G.has_edge(gas_source, solenoid) or G.has_edge(solenoid, gas_source):
debug_print(f"找到连接的气源电磁阀: {solenoid}")
debug_print(f"找到连接的气源电磁阀: {solenoid}")
return solenoid
# 通过命名规则查找
debug_print(f"📋 方法2: 检查命名规则...")
for solenoid in solenoid_valves:
if 'gas' in solenoid.lower() or solenoid == 'solenoid_valve_2':
debug_print(f"通过命名找到气源电磁阀: {solenoid}")
debug_print(f"通过命名找到气源电磁阀: {solenoid}")
return solenoid
debug_print("未找到气源电磁阀")
debug_print("⚠️ 未找到气源电磁阀")
return None
def generate_evacuateandrefill_protocol(
G: nx.DiGraph,
vessel: dict,
vessel: dict, # 🔧 修改:从字符串改为字典类型
gas: str,
**kwargs
) -> List[Dict[str, Any]]:
"""
生成抽真空和充气操作的动作序列
生成抽真空和充气操作的动作序列 - 中文版
Args:
G: 设备图
vessel: 目标容器字典(必需)
gas: 气体名称(必需)
gas: 气体名称(必需)
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
# 硬编码重复次数为 3
repeats = 3
# 生成协议ID
protocol_id = str(uuid.uuid4())
debug_print(f"开始生成抽真空充气协议: vessel={vessel_id}, gas={gas}, repeats={repeats}")
debug_print(f"🆔 生成协议ID: {protocol_id}")
debug_print("=" * 60)
debug_print("🧪 开始生成抽真空充气协议")
debug_print(f"📋 原始参数:")
debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 💨 气体: '{gas}'")
debug_print(f" 🔄 循环次数: {repeats} (硬编码)")
debug_print(f" 📦 其他参数: {kwargs}")
debug_print("=" * 60)
action_sequence = []
# === 参数验证和修正 ===
debug_print("🔍 步骤1: 参数验证和修正...")
action_sequence.append(create_action_log(f"开始抽真空充气操作 - 容器: {vessel_id}", "🎬"))
action_sequence.append(create_action_log(f"目标气体: {gas}", "💨"))
action_sequence.append(create_action_log(f"循环次数: {repeats}", "🔄"))
# 验证必需参数
if not vessel_id:
debug_print("❌ 容器参数不能为空")
raise ValueError("容器参数不能为空")
if not gas:
debug_print("❌ 气体参数不能为空")
raise ValueError("气体参数不能为空")
if vessel_id not in G.nodes():
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print(f"❌ 容器 '{vessel_id}' 在系统中不存在")
raise ValueError(f"容器 '{vessel_id}' 在系统中不存在")
debug_print("✅ 基本参数验证通过")
action_sequence.append(create_action_log("参数验证通过", ""))
# 标准化气体名称
debug_print("🔧 标准化气体名称...")
gas_aliases = {
'n2': 'nitrogen',
'ar': 'argon',
@@ -218,54 +319,61 @@ def generate_evacuateandrefill_protocol(
'二氧化碳': 'carbon_dioxide',
'氢气': 'hydrogen'
}
original_gas = gas
gas_lower = gas.lower().strip()
if gas_lower in gas_aliases:
gas = gas_aliases[gas_lower]
debug_print(f"标准化气体名称: {original_gas} -> {gas}")
debug_print(f"🔄 标准化气体名称: {original_gas} -> {gas}")
action_sequence.append(create_action_log(f"气体名称标准化: {original_gas} -> {gas}", "🔄"))
debug_print(f"最终参数: 容器={vessel_id}, 气体={gas}, 重复={repeats}")
debug_print(f"📋 最终参数: 容器={vessel_id}, 气体={gas}, 重复={repeats}")
# === 查找设备 ===
debug_print("🔍 步骤2: 查找设备...")
action_sequence.append(create_action_log("正在查找相关设备...", "🔍"))
try:
vacuum_pump = find_vacuum_pump(G)
action_sequence.append(create_action_log(f"找到真空泵: {vacuum_pump}", "🌪️"))
gas_source = find_gas_source(G, gas)
action_sequence.append(create_action_log(f"找到气源: {gas_source}", "💨"))
vacuum_solenoid = find_vacuum_solenoid_valve(G, vacuum_pump)
if vacuum_solenoid:
action_sequence.append(create_action_log(f"找到真空电磁阀: {vacuum_solenoid}", "🚪"))
else:
action_sequence.append(create_action_log("未找到真空电磁阀", "⚠️"))
gas_solenoid = find_gas_solenoid_valve(G, gas_source)
if gas_solenoid:
action_sequence.append(create_action_log(f"找到气源电磁阀: {gas_solenoid}", "🚪"))
else:
action_sequence.append(create_action_log("未找到气源电磁阀", "⚠️"))
stirrer_id = find_connected_stirrer(G, vessel_id)
stirrer_id = find_connected_stirrer(G, vessel_id) # 🔧 使用 vessel_id
if stirrer_id:
action_sequence.append(create_action_log(f"找到搅拌器: {stirrer_id}", "🌪️"))
else:
action_sequence.append(create_action_log("未找到搅拌器", "⚠️"))
debug_print(f"设备配置: 真空泵={vacuum_pump}, 气源={gas_source}, 搅拌器={stirrer_id}")
debug_print(f"📊 设备配置:")
debug_print(f" 🌪️ 真空泵: {vacuum_pump}")
debug_print(f" 💨 气源: {gas_source}")
debug_print(f" 🚪 真空电磁阀: {vacuum_solenoid}")
debug_print(f" 🚪 气源电磁阀: {gas_solenoid}")
debug_print(f" 🌪️ 搅拌器: {stirrer_id}")
except Exception as e:
debug_print(f"设备查找失败: {str(e)}")
debug_print(f"设备查找失败: {str(e)}")
action_sequence.append(create_action_log(f"设备查找失败: {str(e)}", ""))
raise ValueError(f"设备查找失败: {str(e)}")
# === 参数设置 ===
debug_print("🔍 步骤3: 参数设置...")
action_sequence.append(create_action_log("设置操作参数...", "⚙️"))
# 根据气体类型调整参数
if gas.lower() in ['nitrogen', 'argon']:
VACUUM_VOLUME = 25.0
@@ -273,6 +381,7 @@ def generate_evacuateandrefill_protocol(
PUMP_FLOW_RATE = 2.0
VACUUM_TIME = 30.0
REFILL_TIME = 20.0
debug_print("💨 惰性气体: 使用标准参数")
action_sequence.append(create_action_log("检测到惰性气体,使用标准参数", "💨"))
elif gas.lower() in ['air', 'oxygen']:
VACUUM_VOLUME = 20.0
@@ -280,6 +389,7 @@ def generate_evacuateandrefill_protocol(
PUMP_FLOW_RATE = 1.5
VACUUM_TIME = 45.0
REFILL_TIME = 25.0
debug_print("🔥 活性气体: 使用保守参数")
action_sequence.append(create_action_log("检测到活性气体,使用保守参数", "🔥"))
else:
VACUUM_VOLUME = 15.0
@@ -287,88 +397,116 @@ def generate_evacuateandrefill_protocol(
PUMP_FLOW_RATE = 1.0
VACUUM_TIME = 60.0
REFILL_TIME = 30.0
debug_print("❓ 未知气体: 使用安全参数")
action_sequence.append(create_action_log("未知气体类型,使用安全参数", ""))
STIR_SPEED = 200.0
debug_print(f"⚙️ 操作参数:")
debug_print(f" 📏 真空体积: {VACUUM_VOLUME}mL")
debug_print(f" 📏 充气体积: {REFILL_VOLUME}mL")
debug_print(f" ⚡ 泵流速: {PUMP_FLOW_RATE}mL/s")
debug_print(f" ⏱️ 真空时间: {VACUUM_TIME}s")
debug_print(f" ⏱️ 充气时间: {REFILL_TIME}s")
debug_print(f" 🌪️ 搅拌速度: {STIR_SPEED}RPM")
action_sequence.append(create_action_log(f"真空体积: {VACUUM_VOLUME}mL", "📏"))
action_sequence.append(create_action_log(f"充气体积: {REFILL_VOLUME}mL", "📏"))
action_sequence.append(create_action_log(f"泵流速: {PUMP_FLOW_RATE}mL/s", ""))
# === 路径验证 ===
debug_print("🔍 步骤4: 路径验证...")
action_sequence.append(create_action_log("验证传输路径...", "🛤️"))
try:
if nx.has_path(G, vessel_id, vacuum_pump):
# 验证抽真空路径
if nx.has_path(G, vessel_id, vacuum_pump): # 🔧 使用 vessel_id
vacuum_path = nx.shortest_path(G, source=vessel_id, target=vacuum_pump)
debug_print(f"✅ 真空路径: {' -> '.join(vacuum_path)}")
action_sequence.append(create_action_log(f"真空路径: {' -> '.join(vacuum_path)}", "🛤️"))
else:
debug_print(f"⚠️ 真空路径不存在,继续执行但可能有问题")
action_sequence.append(create_action_log("真空路径检查: 路径不存在", "⚠️"))
if nx.has_path(G, gas_source, vessel_id):
# 验证充气路径
if nx.has_path(G, gas_source, vessel_id): # 🔧 使用 vessel_id
gas_path = nx.shortest_path(G, source=gas_source, target=vessel_id)
debug_print(f"✅ 气体路径: {' -> '.join(gas_path)}")
action_sequence.append(create_action_log(f"气体路径: {' -> '.join(gas_path)}", "🛤️"))
else:
debug_print(f"⚠️ 气体路径不存在,继续执行但可能有问题")
action_sequence.append(create_action_log("气体路径检查: 路径不存在", "⚠️"))
except Exception as e:
debug_print(f"⚠️ 路径验证失败: {str(e)},继续执行")
action_sequence.append(create_action_log(f"路径验证失败: {str(e)}", "⚠️"))
# === 启动搅拌器 ===
debug_print("🔍 步骤5: 启动搅拌器...")
if stirrer_id:
debug_print(f"🌪️ 启动搅拌器: {stirrer_id}")
action_sequence.append(create_action_log(f"启动搅拌器 {stirrer_id} (速度: {STIR_SPEED}rpm)", "🌪️"))
action_sequence.append({
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"stir_speed": STIR_SPEED,
"purpose": "抽真空充气前预搅拌"
}
})
# 等待搅拌稳定
action_sequence.append(create_action_log("等待搅拌稳定...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
else:
debug_print("⚠️ 未找到搅拌器,跳过搅拌器启动")
action_sequence.append(create_action_log("跳过搅拌器启动", "⏭️"))
# === 执行循环 ===
debug_print("🔍 步骤6: 执行抽真空-充气循环...")
action_sequence.append(create_action_log(f"开始 {repeats} 次抽真空-充气循环", "🔄"))
for cycle in range(repeats):
debug_print(f"=== 第 {cycle+1}/{repeats} 轮循环 ===")
action_sequence.append(create_action_log(f"{cycle+1}/{repeats} 轮循环开始", "🚀"))
# ============ 抽真空阶段 ============
debug_print(f"🌪️ 抽真空阶段开始")
action_sequence.append(create_action_log("开始抽真空阶段", "🌪️"))
# 启动真空泵
debug_print(f"🔛 启动真空泵: {vacuum_pump}")
action_sequence.append(create_action_log(f"启动真空泵: {vacuum_pump}", "🔛"))
action_sequence.append({
"device_id": vacuum_pump,
"action_name": "set_status",
"action_kwargs": {"string": "ON"}
})
# 开启真空电磁阀
if vacuum_solenoid:
debug_print(f"🚪 打开真空电磁阀: {vacuum_solenoid}")
action_sequence.append(create_action_log(f"打开真空电磁阀: {vacuum_solenoid}", "🚪"))
action_sequence.append({
"device_id": vacuum_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "OPEN"}
})
# 抽真空操作
debug_print(f"🌪️ 抽真空操作: {vessel_id} -> {vacuum_pump}")
action_sequence.append(create_action_log(f"开始抽真空: {vessel_id} -> {vacuum_pump}", "🌪️"))
try:
vacuum_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=vessel_id,
from_vessel=vessel_id, # 🔧 使用 vessel_id
to_vessel=vacuum_pump,
volume=VACUUM_VOLUME,
amount="",
@@ -381,25 +519,27 @@ def generate_evacuateandrefill_protocol(
flowrate=PUMP_FLOW_RATE,
transfer_flowrate=PUMP_FLOW_RATE
)
if vacuum_transfer_actions:
action_sequence.extend(vacuum_transfer_actions)
debug_print(f"✅ 添加了 {len(vacuum_transfer_actions)} 个抽真空动作")
action_sequence.append(create_action_log(f"抽真空协议完成 ({len(vacuum_transfer_actions)} 个操作)", ""))
else:
debug_print("⚠️ 抽真空协议返回空序列,添加手动动作")
action_sequence.append(create_action_log("抽真空协议为空,使用手动等待", "⚠️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
except Exception as e:
debug_print(f"抽真空失败: {str(e)}")
debug_print(f"抽真空失败: {str(e)}")
action_sequence.append(create_action_log(f"抽真空失败: {str(e)}", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
# 抽真空后等待
wait_minutes = VACUUM_TIME / 60
action_sequence.append(create_action_log(f"抽真空后等待 ({wait_minutes:.1f} 分钟)", ""))
@@ -407,59 +547,65 @@ def generate_evacuateandrefill_protocol(
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
# 关闭真空电磁阀
if vacuum_solenoid:
debug_print(f"🚪 关闭真空电磁阀: {vacuum_solenoid}")
action_sequence.append(create_action_log(f"关闭真空电磁阀: {vacuum_solenoid}", "🚪"))
action_sequence.append({
"device_id": vacuum_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "CLOSED"}
})
# 关闭真空泵
debug_print(f"🔴 停止真空泵: {vacuum_pump}")
action_sequence.append(create_action_log(f"停止真空泵: {vacuum_pump}", "🔴"))
action_sequence.append({
"device_id": vacuum_pump,
"action_name": "set_status",
"action_kwargs": {"string": "OFF"}
})
# 阶段间等待
action_sequence.append(create_action_log("抽真空阶段完成,短暂等待", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
# ============ 充气阶段 ============
debug_print(f"💨 充气阶段开始")
action_sequence.append(create_action_log("开始气体充气阶段", "💨"))
# 启动气源
debug_print(f"🔛 启动气源: {gas_source}")
action_sequence.append(create_action_log(f"启动气源: {gas_source}", "🔛"))
action_sequence.append({
"device_id": gas_source,
"action_name": "set_status",
"action_kwargs": {"string": "ON"}
})
# 开启气源电磁阀
if gas_solenoid:
debug_print(f"🚪 打开气源电磁阀: {gas_solenoid}")
action_sequence.append(create_action_log(f"打开气源电磁阀: {gas_solenoid}", "🚪"))
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "OPEN"}
})
# 充气操作
debug_print(f"💨 充气操作: {gas_source} -> {vessel_id}")
action_sequence.append(create_action_log(f"开始气体充气: {gas_source} -> {vessel_id}", "💨"))
try:
gas_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=gas_source,
to_vessel=vessel_id,
to_vessel=vessel_id, # 🔧 使用 vessel_id
volume=REFILL_VOLUME,
amount="",
time=0.0,
@@ -471,25 +617,27 @@ def generate_evacuateandrefill_protocol(
flowrate=PUMP_FLOW_RATE,
transfer_flowrate=PUMP_FLOW_RATE
)
if gas_transfer_actions:
action_sequence.extend(gas_transfer_actions)
debug_print(f"✅ 添加了 {len(gas_transfer_actions)} 个充气动作")
action_sequence.append(create_action_log(f"气体充气协议完成 ({len(gas_transfer_actions)} 个操作)", ""))
else:
debug_print("⚠️ 充气协议返回空序列,添加手动动作")
action_sequence.append(create_action_log("充气协议为空,使用手动等待", "⚠️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
except Exception as e:
debug_print(f"气体充气失败: {str(e)}")
debug_print(f"气体充气失败: {str(e)}")
action_sequence.append(create_action_log(f"气体充气失败: {str(e)}", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
# 充气后等待
refill_wait_minutes = REFILL_TIME / 60
action_sequence.append(create_action_log(f"充气后等待 ({refill_wait_minutes:.1f} 分钟)", ""))
@@ -497,26 +645,29 @@ def generate_evacuateandrefill_protocol(
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
# 关闭气源电磁阀
if gas_solenoid:
debug_print(f"🚪 关闭气源电磁阀: {gas_solenoid}")
action_sequence.append(create_action_log(f"关闭气源电磁阀: {gas_solenoid}", "🚪"))
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "CLOSED"}
})
# 关闭气源
debug_print(f"🔴 停止气源: {gas_source}")
action_sequence.append(create_action_log(f"停止气源: {gas_source}", "🔴"))
action_sequence.append({
"device_id": gas_source,
"action_name": "set_status",
"action_kwargs": {"string": "OFF"}
})
# 循环间等待
if cycle < repeats - 1:
debug_print(f"⏳ 等待下一个循环...")
action_sequence.append(create_action_log("等待下一个循环...", ""))
action_sequence.append({
"action_name": "wait",
@@ -524,58 +675,78 @@ def generate_evacuateandrefill_protocol(
})
else:
action_sequence.append(create_action_log(f"{cycle+1}/{repeats} 轮循环完成", ""))
# === 停止搅拌器 ===
debug_print("🔍 步骤7: 停止搅拌器...")
if stirrer_id:
debug_print(f"🛑 停止搅拌器: {stirrer_id}")
action_sequence.append(create_action_log(f"停止搅拌器: {stirrer_id}", "🛑"))
action_sequence.append({
"device_id": stirrer_id,
"action_name": "stop_stir",
"action_kwargs": {"vessel": {"id": vessel_id},}
"action_kwargs": {"vessel": {"id": vessel_id},} # 🔧 使用 vessel_id
})
else:
action_sequence.append(create_action_log("跳过搅拌器停止", "⏭️"))
# === 最终等待 ===
action_sequence.append(create_action_log("最终稳定等待...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
# === 总结 ===
total_time = (VACUUM_TIME + REFILL_TIME + 25) * repeats + 20
debug_print(f"抽真空充气协议生成完成: {len(action_sequence)} 个动作, 预计 {total_time:.0f}s")
debug_print("=" * 60)
debug_print(f"🎉 抽真空充气协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" ⏱️ 预计总时间: {total_time:.0f}s ({total_time/60:.1f} 分钟)")
debug_print(f" 🥼 处理容器: {vessel_id}")
debug_print(f" 💨 使用气体: {gas}")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print("=" * 60)
# 添加完成日志
summary_msg = f"抽真空充气协议完成: {vessel_id} (使用 {gas}{repeats} 次循环)"
action_sequence.append(create_action_log(summary_msg, "🎉"))
return action_sequence
# === 便捷函数 ===
def generate_nitrogen_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]:
def generate_nitrogen_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]: # 🔧 修改参数类型
"""生成氮气置换协议"""
vessel_id = vessel["id"]
debug_print(f"💨 生成氮气置换协议: {vessel_id}")
return generate_evacuateandrefill_protocol(G, vessel, "nitrogen", **kwargs)
def generate_argon_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]:
def generate_argon_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]: # 🔧 修改参数类型
"""生成氩气置换协议"""
vessel_id = vessel["id"]
debug_print(f"💨 生成氩气置换协议: {vessel_id}")
return generate_evacuateandrefill_protocol(G, vessel, "argon", **kwargs)
def generate_air_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]:
def generate_air_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]: # 🔧 修改参数类型
"""生成空气置换协议"""
vessel_id = vessel["id"]
debug_print(f"💨 生成空气置换协议: {vessel_id}")
return generate_evacuateandrefill_protocol(G, vessel, "air", **kwargs)
def generate_inert_atmosphere_protocol(G: nx.DiGraph, vessel: dict, gas: str = "nitrogen", **kwargs) -> List[Dict[str, Any]]:
def generate_inert_atmosphere_protocol(G: nx.DiGraph, vessel: dict, gas: str = "nitrogen", **kwargs) -> List[Dict[str, Any]]: # 🔧 修改参数类型
"""生成惰性气氛协议"""
vessel_id = vessel["id"]
debug_print(f"🛡️ 生成惰性气氛协议: {vessel_id} (使用 {gas})")
return generate_evacuateandrefill_protocol(G, vessel, gas, **kwargs)
# 测试函数
def test_evacuateandrefill_protocol():
"""测试抽真空充气协议"""
debug_print("=== 抽真空充气协议测试 ===")
debug_print("测试完成")
debug_print("=== 抽真空充气协议增强中文版测试 ===")
debug_print("测试完成")
if __name__ == "__main__":
test_evacuateandrefill_protocol()
test_evacuateandrefill_protocol()

View File

@@ -0,0 +1,143 @@
# import numpy as np
# import networkx as nx
# def generate_evacuateandrefill_protocol(
# G: nx.DiGraph,
# vessel: str,
# gas: str,
# repeats: int = 1
# ) -> list[dict]:
# """
# 生成泵操作的动作序列。
# :param G: 有向图, 节点为容器和注射泵, 边为流体管道, A→B边的属性为管道接A端的阀门位置
# :param from_vessel: 容器A
# :param to_vessel: 容器B
# :param volume: 转移的体积
# :param flowrate: 最终注入容器B时的流速
# :param transfer_flowrate: 泵骨架中转移流速(若不指定,默认与注入流速相同)
# :return: 泵操作的动作序列
# """
# # 生成电磁阀、真空泵、气源操作的动作序列
# vacuum_action_sequence = []
# nodes = G.nodes(data=True)
# # 找到和 vessel 相连的电磁阀和真空泵、气源
# vacuum_backbone = {"vessel": vessel}
# for neighbor in G.neighbors(vessel):
# if nodes[neighbor]["class"].startswith("solenoid_valve"):
# for neighbor2 in G.neighbors(neighbor):
# if neighbor2 == vessel:
# continue
# if nodes[neighbor2]["class"].startswith("vacuum_pump"):
# vacuum_backbone.update({"vacuum_valve": neighbor, "pump": neighbor2})
# break
# elif nodes[neighbor2]["class"].startswith("gas_source"):
# vacuum_backbone.update({"gas_valve": neighbor, "gas": neighbor2})
# break
# # 判断是否设备齐全
# if len(vacuum_backbone) < 5:
# print(f"\n\n\n{vacuum_backbone}\n\n\n")
# raise ValueError("Not all devices are connected to the vessel.")
# # 生成操作的动作序列
# for i in range(repeats):
# # 打开真空泵阀门、关闭气源阀门
# vacuum_action_sequence.append([
# {
# "device_id": vacuum_backbone["vacuum_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "OPEN"
# }
# },
# {
# "device_id": vacuum_backbone["gas_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "CLOSED"
# }
# }
# ])
# # 打开真空泵、关闭气源
# vacuum_action_sequence.append([
# {
# "device_id": vacuum_backbone["pump"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "ON"
# }
# },
# {
# "device_id": vacuum_backbone["gas"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "OFF"
# }
# }
# ])
# vacuum_action_sequence.append({"action_name": "wait", "action_kwargs": {"time": 60}})
# # 关闭真空泵阀门、打开气源阀门
# vacuum_action_sequence.append([
# {
# "device_id": vacuum_backbone["vacuum_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "CLOSED"
# }
# },
# {
# "device_id": vacuum_backbone["gas_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "OPEN"
# }
# }
# ])
# # 关闭真空泵、打开气源
# vacuum_action_sequence.append([
# {
# "device_id": vacuum_backbone["pump"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "OFF"
# }
# },
# {
# "device_id": vacuum_backbone["gas"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "ON"
# }
# }
# ])
# vacuum_action_sequence.append({"action_name": "wait", "action_kwargs": {"time": 60}})
# # 关闭气源
# vacuum_action_sequence.append(
# {
# "device_id": vacuum_backbone["gas"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "OFF"
# }
# }
# )
# # 关闭阀门
# vacuum_action_sequence.append(
# {
# "device_id": vacuum_backbone["gas_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "CLOSED"
# }
# }
# )
# return vacuum_action_sequence

View File

@@ -4,99 +4,128 @@ import logging
import re
from .utils.vessel_parser import get_vessel
from .utils.unit_parser import parse_time_input
from .utils.logger_util import debug_print
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[EVAPORATE] {message}")
def find_rotavap_device(G: nx.DiGraph, vessel: str = None) -> Optional[str]:
"""
在组态图中查找旋转蒸发仪设备
Args:
G: 设备图
vessel: 指定的设备名称(可选)
Returns:
str: 找到的旋转蒸发仪设备ID如果没找到返回None
"""
debug_print("🔍 开始查找旋转蒸发仪设备... 🌪️")
# 如果指定了vessel先检查是否存在且是旋转蒸发仪
if vessel:
debug_print(f"🎯 检查指定设备: {vessel} 🔧")
if vessel in G.nodes():
node_data = G.nodes[vessel]
node_class = node_data.get('class', '')
node_type = node_data.get('type', '')
debug_print(f"📋 设备信息 {vessel}: class={node_class}, type={node_type}")
# 检查是否为旋转蒸发仪
if any(keyword in str(node_class).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
debug_print(f"找到指定的旋转蒸发仪: {vessel}")
debug_print(f"🎉 找到指定的旋转蒸发仪: {vessel}")
return vessel
elif node_type == 'device':
debug_print(f"指定设备存在,尝试直接使用: {vessel}")
debug_print(f"指定设备存在,尝试直接使用: {vessel} 🔧")
return vessel
else:
debug_print(f"❌ 指定的设备 {vessel} 不存在 😞")
# 在所有设备中查找旋转蒸发仪
debug_print("🔎 在所有设备中搜索旋转蒸发仪... 🕵️‍♀️")
rotavap_candidates = []
for node_id, node_data in G.nodes(data=True):
node_class = node_data.get('class', '')
node_type = node_data.get('type', '')
# 跳过非设备节点
if node_type != 'device':
continue
# 检查设备类型
if any(keyword in str(node_class).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
rotavap_candidates.append(node_id)
debug_print(f"🌟 找到旋转蒸发仪候选: {node_id} (class: {node_class}) 🌪️")
elif any(keyword in str(node_id).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
rotavap_candidates.append(node_id)
debug_print(f"🌟 找到旋转蒸发仪候选 (按名称): {node_id} 🌪️")
if rotavap_candidates:
selected = rotavap_candidates[0]
debug_print(f"选择旋转蒸发仪: {selected}")
selected = rotavap_candidates[0] # 选择第一个找到的
debug_print(f"🎯 选择旋转蒸发仪: {selected} 🏆")
return selected
debug_print("未找到旋转蒸发仪设备")
debug_print("😭 未找到旋转蒸发仪设备 💔")
return None
def find_connected_vessel(G: nx.DiGraph, rotavap_device: str) -> Optional[str]:
"""
查找与旋转蒸发仪连接的容器
Args:
G: 设备图
rotavap_device: 旋转蒸发仪设备ID
Returns:
str: 连接的容器ID如果没找到返回None
"""
debug_print(f"🔗 查找与 {rotavap_device} 连接的容器... 🥽")
# 查看旋转蒸发仪的子设备
rotavap_data = G.nodes[rotavap_device]
children = rotavap_data.get('children', [])
debug_print(f"👶 检查子设备: {children}")
for child_id in children:
if child_id in G.nodes():
child_data = G.nodes[child_id]
child_type = child_data.get('type', '')
if child_type == 'container':
debug_print(f"找到连接的容器: {child_id}")
debug_print(f"🎉 找到连接的容器: {child_id} 🥽✨")
return child_id
# 查看邻接的容器
debug_print("🤝 检查邻接设备...")
for neighbor in G.neighbors(rotavap_device):
neighbor_data = G.nodes[neighbor]
neighbor_type = neighbor_data.get('type', '')
if neighbor_type == 'container':
debug_print(f"找到邻接的容器: {neighbor}")
debug_print(f"🎉 找到邻接的容器: {neighbor} 🥽✨")
return neighbor
debug_print("未找到连接的容器")
debug_print("😞 未找到连接的容器 💔")
return None
def generate_evaporate_protocol(
G: nx.DiGraph,
vessel: dict,
vessel: dict, # 🔧 修改:从字符串改为字典类型
pressure: float = 0.1,
temp: float = 60.0,
time: Union[str, float] = "180",
time: Union[str, float] = "180", # 🔧 修改:支持字符串时间
stir_speed: float = 100.0,
solvent: str = "",
**kwargs
) -> List[Dict[str, Any]]:
"""
生成蒸发操作的协议序列 - 支持单位和体积运算
Args:
G: 设备图
vessel: 容器字典从XDL传入
@@ -106,16 +135,27 @@ def generate_evaporate_protocol(
stir_speed: 旋转速度 (RPM)默认100
solvent: 溶剂名称(用于参数优化)
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print(f"开始生成蒸发协议: vessel={vessel_id}, pressure={pressure}, temp={temp}, time={time}")
# 记录蒸发前的容器状态
debug_print("🌟" * 20)
debug_print("🌪️ 开始生成蒸发协议(支持单位和体积运算)✨")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 💨 pressure: {pressure} bar")
debug_print(f" 🌡️ temp: {temp}°C")
debug_print(f" ⏰ time: {time} (类型: {type(time)})")
debug_print(f" 🌪️ stir_speed: {stir_speed} RPM")
debug_print(f" 🧪 solvent: '{solvent}'")
debug_print("🌟" * 20)
# 🔧 新增:记录蒸发前的容器状态
debug_print("🔍 记录蒸发前容器状态...")
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -123,97 +163,168 @@ def generate_evaporate_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
# 查找旋转蒸发仪设备
debug_print(f"📊 蒸发前液体体积: {original_liquid_volume:.2f}mL")
# === 步骤1: 查找旋转蒸发仪设备 ===
debug_print("📍 步骤1: 查找旋转蒸发仪设备... 🔍")
# 验证vessel参数
if not vessel_id:
debug_print("❌ vessel 参数不能为空! 😱")
raise ValueError("vessel 参数不能为空")
# 查找旋转蒸发仪设备
rotavap_device = find_rotavap_device(G, vessel_id)
if not rotavap_device:
debug_print("💥 未找到旋转蒸发仪设备! 😭")
raise ValueError(f"未找到旋转蒸发仪设备。请检查组态图中是否包含 class 包含 'rotavap''rotary''evaporat' 的设备")
# 确定目标容器
debug_print(f"🎉 成功找到旋转蒸发仪: {rotavap_device}")
# === 步骤2: 确定目标容器 ===
debug_print("📍 步骤2: 确定目标容器... 🥽")
target_vessel = vessel_id
# 如果vessel就是旋转蒸发仪设备查找连接的容器
if vessel_id == rotavap_device:
debug_print("🔄 vessel就是旋转蒸发仪查找连接的容器...")
connected_vessel = find_connected_vessel(G, rotavap_device)
if connected_vessel:
target_vessel = connected_vessel
debug_print(f"✅ 使用连接的容器: {target_vessel} 🥽✨")
else:
debug_print(f"⚠️ 未找到连接的容器,使用设备本身: {rotavap_device} 🔧")
target_vessel = rotavap_device
elif vessel_id in G.nodes() and G.nodes[vessel_id].get('type') == 'container':
debug_print(f"✅ 使用指定的容器: {vessel_id} 🥽✨")
target_vessel = vessel_id
else:
debug_print(f"⚠️ 容器 '{vessel_id}' 不存在或类型不正确,使用旋转蒸发仪设备: {rotavap_device} 🔧")
target_vessel = rotavap_device
# 单位解析处理
# === 🔧 新增步骤3单位解析处理 ===
debug_print("📍 步骤3: 单位解析处理... ⚡")
# 解析时间
final_time = parse_time_input(time)
debug_print(f"时间解析: {time} -> {final_time}s ({final_time/60:.1f}分钟)")
# 参数验证和修正
debug_print(f"🎯 时间解析完成: {time} {final_time}s ({final_time/60:.1f}分钟) ⏰✨")
# === 步骤4: 参数验证和修正 ===
debug_print("📍 步骤4: 参数验证和修正... 🔧")
# 修正参数范围
if pressure <= 0 or pressure > 1.0:
debug_print(f"⚠️ 真空度 {pressure} bar 超出范围,修正为 0.1 bar 💨")
pressure = 0.1
else:
debug_print(f"✅ 真空度 {pressure} bar 在正常范围内 💨")
if temp < 10.0 or temp > 200.0:
debug_print(f"⚠️ 温度 {temp}°C 超出范围,修正为 60°C 🌡️")
temp = 60.0
else:
debug_print(f"✅ 温度 {temp}°C 在正常范围内 🌡️")
if final_time <= 0:
debug_print(f"⚠️ 时间 {final_time}s 无效,修正为 180s (3分钟) ⏰")
final_time = 180.0
else:
debug_print(f"✅ 时间 {final_time}s ({final_time/60:.1f}分钟) 有效 ⏰")
if stir_speed < 10.0 or stir_speed > 300.0:
debug_print(f"⚠️ 旋转速度 {stir_speed} RPM 超出范围,修正为 100 RPM 🌪️")
stir_speed = 100.0
else:
debug_print(f"✅ 旋转速度 {stir_speed} RPM 在正常范围内 🌪️")
# 根据溶剂优化参数
if solvent:
debug_print(f"🧪 根据溶剂 '{solvent}' 优化参数... 🔬")
solvent_lower = solvent.lower()
if any(s in solvent_lower for s in ['water', 'aqueous', 'h2o']):
temp = max(temp, 80.0)
pressure = max(pressure, 0.2)
debug_print("💧 水系溶剂:提高温度和真空度 🌡️💨")
elif any(s in solvent_lower for s in ['ethanol', 'methanol', 'acetone']):
temp = min(temp, 50.0)
pressure = min(pressure, 0.05)
debug_print("🍺 易挥发溶剂:降低温度和真空度 🌡️💨")
elif any(s in solvent_lower for s in ['dmso', 'dmi', 'toluene']):
temp = max(temp, 100.0)
pressure = min(pressure, 0.01)
debug_print(f"最终参数: pressure={pressure}bar, temp={temp}°C, time={final_time}s, stir_speed={stir_speed}RPM")
# 蒸发体积计算
debug_print("🔥 高沸点溶剂:提高温度,降低真空度 🌡️💨")
else:
debug_print("🧪 通用溶剂,使用标准参数 ✨")
else:
debug_print("🤷‍♀️ 未指定溶剂,使用默认参数 ✨")
debug_print(f"🎯 最终参数: pressure={pressure} bar 💨, temp={temp}°C 🌡️, time={final_time}s ⏰, stir_speed={stir_speed} RPM 🌪️")
# === 🔧 新增步骤5蒸发体积计算 ===
debug_print("📍 步骤5: 蒸发体积计算... 📊")
# 根据温度、真空度、时间和溶剂类型估算蒸发量
evaporation_volume = 0.0
if original_liquid_volume > 0:
base_evap_rate = 0.5
# 基础蒸发速率mL/min
base_evap_rate = 0.5 # 基础速率
# 温度系数(高温蒸发更快)
temp_factor = 1.0 + (temp - 25.0) / 100.0
# 真空系数(真空度越高蒸发越快)
vacuum_factor = 1.0 + (1.0 - pressure) * 2.0
# 溶剂系数
solvent_factor = 1.0
if solvent:
solvent_lower = solvent.lower()
if any(s in solvent_lower for s in ['water', 'h2o']):
solvent_factor = 0.8
solvent_factor = 0.8 # 水蒸发较慢
elif any(s in solvent_lower for s in ['ethanol', 'methanol', 'acetone']):
solvent_factor = 1.5
solvent_factor = 1.5 # 易挥发溶剂蒸发快
elif any(s in solvent_lower for s in ['dmso', 'dmi']):
solvent_factor = 0.3
solvent_factor = 0.3 # 高沸点溶剂蒸发慢
# 计算总蒸发量
total_evap_rate = base_evap_rate * temp_factor * vacuum_factor * solvent_factor
evaporation_volume = min(
original_liquid_volume * 0.95,
total_evap_rate * (final_time / 60.0)
original_liquid_volume * 0.95, # 最多蒸发95%
total_evap_rate * (final_time / 60.0) # 时间相关的蒸发量
)
debug_print(f"预计蒸发量: {evaporation_volume:.2f}mL ({evaporation_volume/original_liquid_volume*100:.1f}%)")
# 生成动作序列
debug_print(f"📊 蒸发量计算:")
debug_print(f" - 基础蒸发速率: {base_evap_rate} mL/min")
debug_print(f" - 温度系数: {temp_factor:.2f} (基于 {temp}°C)")
debug_print(f" - 真空系数: {vacuum_factor:.2f} (基于 {pressure} bar)")
debug_print(f" - 溶剂系数: {solvent_factor:.2f} ({solvent or '通用'})")
debug_print(f" - 总蒸发速率: {total_evap_rate:.2f} mL/min")
debug_print(f" - 预计蒸发量: {evaporation_volume:.2f}mL ({evaporation_volume/original_liquid_volume*100:.1f}%)")
# === 步骤6: 生成动作序列 ===
debug_print("📍 步骤6: 生成动作序列... 🎬")
action_sequence = []
# 1. 等待稳定
debug_print(" 🔄 动作1: 添加初始等待稳定... ⏳")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10}
})
debug_print(" ✅ 初始等待动作已添加 ⏳✨")
# 2. 执行蒸发
debug_print(f" 🌪️ 动作2: 执行蒸发操作...")
debug_print(f" 🔧 设备: {rotavap_device}")
debug_print(f" 🥽 容器: {target_vessel}")
debug_print(f" 💨 真空度: {pressure} bar")
debug_print(f" 🌡️ 温度: {temp}°C")
debug_print(f" ⏰ 时间: {final_time}s ({final_time/60:.1f}分钟)")
debug_print(f" 🌪️ 旋转速度: {stir_speed} RPM")
evaporate_action = {
"device_id": rotavap_device,
"action_name": "evaporate",
@@ -221,17 +332,20 @@ def generate_evaporate_protocol(
"vessel": {"id": target_vessel},
"pressure": float(pressure),
"temp": float(temp),
"time": float(final_time),
"time": float(final_time), # 🔧 强制转换为float类型
"stir_speed": float(stir_speed),
"solvent": str(solvent)
}
}
action_sequence.append(evaporate_action)
# 蒸发过程中的体积变化
debug_print(" ✅ 蒸发动作已添加 🌪️✨")
# 🔧 新增:蒸发过程中的体积变化
debug_print(" 🔧 更新容器体积 - 蒸发过程...")
if evaporation_volume > 0:
new_volume = max(0.0, original_liquid_volume - evaporation_volume)
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -243,14 +357,15 @@ def generate_evaporate_protocol(
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
@@ -258,16 +373,18 @@ def generate_evaporate_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"蒸发体积变化: {original_liquid_volume:.2f}mL -> {new_volume:.2f}mL (-{evaporation_volume:.2f}mL)")
debug_print(f" 📊 蒸发体积变化: {original_liquid_volume:.2f}mL {new_volume:.2f}mL (-{evaporation_volume:.2f}mL)")
# 3. 蒸发后等待
debug_print(" 🔄 动作3: 添加蒸发后等待... ⏳")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10}
})
# 最终状态
debug_print(" ✅ 蒸发后等待动作已添加 ⏳✨")
# 🔧 新增:蒸发完成后的状态报告
final_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -275,7 +392,19 @@ def generate_evaporate_protocol(
final_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
final_liquid_volume = current_volume
debug_print(f"蒸发协议生成完成: {len(action_sequence)} 个动作, 设备={rotavap_device}, 容器={target_vessel}")
# === 总结 ===
debug_print("🎊" * 20)
debug_print(f"🎉 蒸发协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)} 个 📝")
debug_print(f"🌪️ 旋转蒸发仪: {rotavap_device} 🔧")
debug_print(f"🥽 目标容器: {target_vessel} 🧪")
debug_print(f"⚙️ 蒸发参数: {pressure} bar 💨, {temp}°C 🌡️, {final_time}s ⏰, {stir_speed} RPM 🌪️")
debug_print(f"⏱️ 预计总时间: {(final_time + 20)/60:.1f} 分钟 ⌛")
debug_print(f"📊 体积变化:")
debug_print(f" - 蒸发前: {original_liquid_volume:.2f}mL")
debug_print(f" - 蒸发后: {final_liquid_volume:.2f}mL")
debug_print(f" - 蒸发量: {evaporation_volume:.2f}mL ({evaporation_volume/max(original_liquid_volume, 0.01)*100:.1f}%)")
debug_print("🎊" * 20)
return action_sequence

View File

@@ -2,64 +2,87 @@ from typing import List, Dict, Any, Optional
import networkx as nx
import logging
from .utils.vessel_parser import get_vessel
from .utils.logger_util import debug_print
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[FILTER] {message}")
def find_filter_device(G: nx.DiGraph) -> str:
"""查找过滤器设备"""
debug_print("🔍 查找过滤器设备... 🌊")
# 查找过滤器设备
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'filter' in node_class.lower() or 'filter' in node.lower():
debug_print(f"找到过滤器设备: {node}")
debug_print(f"🎉 找到过滤器设备: {node}")
return node
# 如果没找到,寻找可能的过滤器名称
debug_print("🔎 在预定义名称中搜索过滤器... 📋")
possible_names = ["filter", "filter_1", "virtual_filter", "filtration_unit"]
for name in possible_names:
if name in G.nodes():
debug_print(f"找到过滤器设备: {name}")
debug_print(f"🎉 找到过滤器设备: {name}")
return name
debug_print("😭 未找到过滤器设备 💔")
raise ValueError("未找到过滤器设备")
def validate_vessel(G: nx.DiGraph, vessel: str, vessel_type: str = "容器") -> None:
"""验证容器是否存在"""
debug_print(f"🔍 验证{vessel_type}: '{vessel}' 🧪")
if not vessel:
debug_print(f"{vessel_type}不能为空! 😱")
raise ValueError(f"{vessel_type}不能为空")
if vessel not in G.nodes():
debug_print(f"{vessel_type} '{vessel}' 不存在于系统中! 😞")
raise ValueError(f"{vessel_type} '{vessel}' 不存在于系统中")
debug_print(f"{vessel_type} '{vessel}' 验证通过 🎯")
def generate_filter_protocol(
G: nx.DiGraph,
vessel: dict,
vessel: dict, # 🔧 修改:从字符串改为字典类型
filtrate_vessel: dict = {"id": "waste"},
**kwargs
) -> List[Dict[str, Any]]:
"""
生成过滤操作的协议序列 - 支持体积运算
Args:
G: 设备图
vessel: 过滤容器字典(必需)- 包含需要过滤的混合物
filtrate_vessel: 滤液容器名称(可选)- 如果提供则收集滤液
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 过滤操作的动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
filtrate_vessel_id, filtrate_vessel_data = get_vessel(filtrate_vessel)
debug_print(f"开始生成过滤协议: vessel={vessel_id}, filtrate_vessel={filtrate_vessel_id}")
debug_print("🌊" * 20)
debug_print("🚀 开始生成过滤协议(支持体积运算)✨")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 🧪 filtrate_vessel: {filtrate_vessel}")
debug_print(f" ⚙️ 其他参数: {kwargs}")
debug_print("🌊" * 20)
action_sequence = []
# 记录过滤前的容器状态
# 🔧 新增:记录过滤前的容器状态
debug_print("🔍 记录过滤前容器状态...")
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -67,45 +90,79 @@ def generate_filter_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
debug_print(f"📊 过滤前液体体积: {original_liquid_volume:.2f}mL")
# === 参数验证 ===
validate_vessel(G, vessel_id, "过滤容器")
debug_print("📍 步骤1: 参数验证... 🔧")
# 验证必需参数
debug_print(" 🔍 验证必需参数...")
validate_vessel(G, vessel_id, "过滤容器") # 🔧 使用 vessel_id
debug_print(" ✅ 必需参数验证完成 🎯")
# 验证可选参数
debug_print(" 🔍 验证可选参数...")
if filtrate_vessel:
validate_vessel(G, filtrate_vessel_id, "滤液容器")
debug_print(" 🌊 模式: 过滤并收集滤液 💧")
else:
debug_print(" 🧱 模式: 过滤并收集固体 🔬")
debug_print(" ✅ 可选参数验证完成 🎯")
# === 查找设备 ===
debug_print("📍 步骤2: 查找设备... 🔍")
try:
debug_print(" 🔎 搜索过滤器设备...")
filter_device = find_filter_device(G)
debug_print(f"使用过滤器设备: {filter_device}")
debug_print(f" 🎉 使用过滤器设备: {filter_device} 🌊✨")
except Exception as e:
debug_print(f" ❌ 设备查找失败: {str(e)} 😭")
raise ValueError(f"设备查找失败: {str(e)}")
# 过滤体积分配估算
solid_ratio = 0.1
liquid_ratio = 0.9
volume_loss_ratio = 0.05
# 🔧 新增:过滤效率和体积分配估算
debug_print("📍 步骤2.5: 过滤体积分配估算... 📊")
# 估算过滤分离比例(基于经验数据)
solid_ratio = 0.1 # 假设10%是固体(保留在过滤器上)
liquid_ratio = 0.9 # 假设90%是液体(通过过滤器)
volume_loss_ratio = 0.05 # 假设5%体积损失(残留在过滤器等)
# 从kwargs中获取过滤参数进行优化
if "solid_content" in kwargs:
try:
solid_ratio = float(kwargs["solid_content"])
liquid_ratio = 1.0 - solid_ratio
debug_print(f"📋 使用指定的固体含量: {solid_ratio*100:.1f}%")
except:
pass
debug_print("⚠️ 固体含量参数无效,使用默认值")
if original_liquid_volume > 0:
expected_filtrate_volume = original_liquid_volume * liquid_ratio * (1.0 - volume_loss_ratio)
expected_solid_volume = original_liquid_volume * solid_ratio
volume_loss = original_liquid_volume * volume_loss_ratio
debug_print(f"📊 过滤体积分配估算:")
debug_print(f" - 原始体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 预计滤液体积: {expected_filtrate_volume:.2f}mL ({liquid_ratio*100:.1f}%)")
debug_print(f" - 预计固体体积: {expected_solid_volume:.2f}mL ({solid_ratio*100:.1f}%)")
debug_print(f" - 预计损失体积: {volume_loss:.2f}mL ({volume_loss_ratio*100:.1f}%)")
# === 转移到过滤器(如果需要)===
if vessel_id != filter_device:
debug_print("📍 步骤3: 转移到过滤器... 🚚")
if vessel_id != filter_device: # 🔧 使用 vessel_id
debug_print(f" 🚛 需要转移: {vessel_id}{filter_device} 📦")
try:
debug_print(" 🔄 开始执行转移操作...")
# 使用pump protocol转移液体到过滤器
transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel={"id": vessel_id},
from_vessel={"id": vessel_id}, # 🔧 使用 vessel_id
to_vessel={"id": filter_device},
volume=0.0,
volume=0.0, # 转移所有液体
amount="",
time=0.0,
viscous=False,
@@ -116,59 +173,88 @@ def generate_filter_protocol(
flowrate=2.0,
transfer_flowrate=2.0
)
if transfer_actions:
action_sequence.extend(transfer_actions)
debug_print(f"添加了 {len(transfer_actions)} 个转移动作")
# 更新容器体积
debug_print(f"添加了 {len(transfer_actions)} 个转移动作 🚚✨")
# 🔧 新增:转移后更新容器体积
debug_print(" 🔧 更新转移后的容器体积...")
# 原容器体积变为0所有液体已转移
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
vessel["data"]["liquid_volume"] = [0.0] if len(current_volume) > 0 else [0.0]
else:
vessel["data"]["liquid_volume"] = 0.0
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
G.nodes[vessel_id]['data']['liquid_volume'] = 0.0
debug_print(f" 📊 转移完成,{vessel_id} 体积更新为 0.0mL")
else:
debug_print(" ⚠️ 转移协议返回空序列 🤔")
except Exception as e:
debug_print(f"转移失败: {str(e)},继续执行")
debug_print(f"转移失败: {str(e)} 😞")
debug_print(" 🔄 继续执行,可能是直接连接的过滤器 🤞")
else:
debug_print(" ✅ 过滤容器就是过滤器,无需转移 🎯")
# === 执行过滤操作 ===
debug_print("📍 步骤4: 执行过滤操作... 🌊")
# 构建过滤动作参数
debug_print(" ⚙️ 构建过滤参数...")
filter_kwargs = {
"vessel": {"id": filter_device},
"filtrate_vessel": {"id": filtrate_vessel_id},
"vessel": {"id": filter_device}, # 过滤器设备
"filtrate_vessel": {"id": filtrate_vessel_id}, # 滤液容器(可能为空)
"stir": kwargs.get("stir", False),
"stir_speed": kwargs.get("stir_speed", 0.0),
"temp": kwargs.get("temp", 25.0),
"continue_heatchill": kwargs.get("continue_heatchill", False),
"volume": kwargs.get("volume", 0.0)
"volume": kwargs.get("volume", 0.0) # 0表示过滤所有
}
debug_print(f" 📋 过滤参数: {filter_kwargs}")
debug_print(" 🌊 开始过滤操作...")
# 过滤动作
filter_action = {
"device_id": filter_device,
"action_name": "filter",
"action_kwargs": filter_kwargs
}
action_sequence.append(filter_action)
debug_print(" ✅ 过滤动作已添加 🌊✨")
# 过滤后等待
debug_print(" ⏳ 添加过滤后等待...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
debug_print(" ✅ 过滤后等待动作已添加 ⏰✨")
# === 收集滤液(如果需要)===
debug_print("📍 步骤5: 收集滤液... 💧")
if filtrate_vessel_id and filtrate_vessel_id not in G.neighbors(filter_device):
debug_print(f" 🧪 收集滤液: {filter_device}{filtrate_vessel_id} 💧")
try:
debug_print(" 🔄 开始执行收集操作...")
# 使用pump protocol收集滤液
collect_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=filter_device,
to_vessel=filtrate_vessel,
volume=0.0,
volume=0.0, # 收集所有滤液
amount="",
time=0.0,
viscous=False,
@@ -179,15 +265,19 @@ def generate_filter_protocol(
flowrate=2.0,
transfer_flowrate=2.0
)
if collect_actions:
action_sequence.extend(collect_actions)
# 更新滤液容器体积
debug_print(f" ✅ 添加了 {len(collect_actions)} 个收集动作 🧪✨")
# 🔧 新增:收集滤液后的体积更新
debug_print(" 🔧 更新滤液容器体积...")
# 更新filtrate_vessel在图中的体积如果它是节点
if filtrate_vessel_id in G.nodes():
if 'data' not in G.nodes[filtrate_vessel_id]:
G.nodes[filtrate_vessel_id]['data'] = {}
current_filtrate_volume = G.nodes[filtrate_vessel_id]['data'].get('liquid_volume', 0.0)
if isinstance(current_filtrate_volume, list):
if len(current_filtrate_volume) > 0:
@@ -196,37 +286,58 @@ def generate_filter_protocol(
G.nodes[filtrate_vessel_id]['data']['liquid_volume'] = [expected_filtrate_volume]
else:
G.nodes[filtrate_vessel_id]['data']['liquid_volume'] = current_filtrate_volume + expected_filtrate_volume
debug_print(f" 📊 滤液容器 {filtrate_vessel_id} 体积增加 {expected_filtrate_volume:.2f}mL")
else:
debug_print(" ⚠️ 收集协议返回空序列 🤔")
except Exception as e:
debug_print(f"收集滤液失败: {str(e)},继续执行")
# 过滤完成后容器状态更新
debug_print(f"收集滤液失败: {str(e)} 😞")
debug_print(" 🔄 继续执行,可能滤液直接流入指定容器 🤞")
else:
debug_print(" 🧱 未指定滤液容器,固体保留在过滤器中 🔬")
# 🔧 新增:过滤完成后的容器状态更新
debug_print("📍 步骤5.5: 过滤完成后状态更新... 📊")
if vessel_id == filter_device:
# 如果过滤容器就是过滤器,需要更新其体积状态
if original_liquid_volume > 0:
if filtrate_vessel:
# 收集滤液模式:过滤器中主要保留固体
remaining_volume = expected_solid_volume
debug_print(f" 🧱 过滤器中保留固体: {remaining_volume:.2f}mL")
else:
# 保留固体模式:过滤器中保留所有物质
remaining_volume = original_liquid_volume * (1.0 - volume_loss_ratio)
debug_print(f" 🔬 过滤器中保留所有物质: {remaining_volume:.2f}mL")
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
vessel["data"]["liquid_volume"] = [remaining_volume] if len(current_volume) > 0 else [remaining_volume]
else:
vessel["data"]["liquid_volume"] = remaining_volume
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
G.nodes[vessel_id]['data']['liquid_volume'] = remaining_volume
debug_print(f" 📊 过滤器 {vessel_id} 体积更新为: {remaining_volume:.2f}mL")
# === 最终等待 ===
debug_print("📍 步骤6: 最终等待... ⏰")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
# 最终状态
debug_print(" ✅ 最终等待动作已添加 ⏰✨")
# 🔧 新增:过滤完成后的状态报告
final_vessel_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -234,7 +345,22 @@ def generate_filter_protocol(
final_vessel_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
final_vessel_volume = current_volume
debug_print(f"过滤协议生成完成: {len(action_sequence)} 个动作, 容器={vessel_id}, 过滤器={filter_device}")
# === 总结 ===
debug_print("🎊" * 20)
debug_print(f"🎉 过滤协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)} 个 📝")
debug_print(f"🥽 过滤容器: {vessel_id} 🧪")
debug_print(f"🌊 过滤器设备: {filter_device} 🔧")
debug_print(f"💧 滤液容器: {filtrate_vessel_id or '无(保留固体)'} 🧱")
debug_print(f"⏱️ 预计总时间: {(len(action_sequence) * 5):.0f} 秒 ⌛")
if original_liquid_volume > 0:
debug_print(f"📊 体积变化统计:")
debug_print(f" - 过滤前体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 过滤后容器体积: {final_vessel_volume:.2f}mL")
if filtrate_vessel:
debug_print(f" - 预计滤液体积: {expected_filtrate_volume:.2f}mL")
debug_print(f" - 预计损失体积: {volume_loss:.2f}mL")
debug_print("🎊" * 20)
return action_sequence

View File

@@ -1,24 +1,118 @@
from typing import List, Dict, Any, Union
import networkx as nx
from .utils.vessel_parser import get_vessel, find_connected_heatchill
from .utils.unit_parser import parse_time_input, parse_temperature_input
from .utils.logger_util import debug_print
import logging
import re
from .utils.vessel_parser import get_vessel
from .utils.unit_parser import parse_time_input
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[HEATCHILL] {message}")
def parse_temp_input(temp_input: Union[str, float], default_temp: float = 25.0) -> float:
"""
解析温度输入(统一函数)
Args:
temp_input: 温度输入
default_temp: 默认温度
Returns:
float: 温度°C
"""
if not temp_input:
return default_temp
# 🔢 数值输入
if isinstance(temp_input, (int, float)):
result = float(temp_input)
debug_print(f"🌡️ 数值温度: {temp_input}{result}°C")
return result
# 📝 字符串输入
temp_str = str(temp_input).lower().strip()
debug_print(f"🔍 解析温度: '{temp_str}'")
# 🎯 特殊温度
special_temps = {
"room temperature": 25.0, "reflux": 78.0, "ice bath": 0.0,
"boiling": 100.0, "hot": 60.0, "warm": 40.0, "cold": 10.0
}
if temp_str in special_temps:
result = special_temps[temp_str]
debug_print(f"🎯 特殊温度: '{temp_str}'{result}°C")
return result
# 📐 正则解析(如 "256 °C"
temp_pattern = r'(\d+(?:\.\d+)?)\s*°?[cf]?'
match = re.search(temp_pattern, temp_str)
if match:
result = float(match.group(1))
debug_print(f"✅ 温度解析: '{temp_str}'{result}°C")
return result
debug_print(f"⚠️ 无法解析温度: '{temp_str}',使用默认值: {default_temp}°C")
return default_temp
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""查找与指定容器相连的加热/冷却设备"""
debug_print(f"🔍 查找加热设备,目标容器: {vessel}")
# 🔧 查找所有加热设备
heatchill_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'heatchill' in node_class.lower() or 'virtual_heatchill' in node_class:
heatchill_nodes.append(node)
debug_print(f"🎉 找到加热设备: {node}")
# 🔗 检查连接
if vessel and heatchill_nodes:
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
debug_print(f"✅ 加热设备 '{heatchill}' 与容器 '{vessel}' 相连")
return heatchill
# 🎯 使用第一个可用设备
if heatchill_nodes:
selected = heatchill_nodes[0]
debug_print(f"🔧 使用第一个加热设备: {selected}")
return selected
# 🆘 默认设备
debug_print("⚠️ 未找到加热设备,使用默认设备")
return "heatchill_1"
def validate_and_fix_params(temp: float, time: float, stir_speed: float) -> tuple:
"""验证和修正参数"""
# 🌡️ 温度范围验证
if temp < -50.0 or temp > 300.0:
debug_print(f"⚠️ 温度 {temp}°C 超出范围,修正为 25°C")
temp = 25.0
else:
debug_print(f"✅ 温度 {temp}°C 在正常范围内")
# ⏰ 时间验证
if time < 0:
debug_print(f"⚠️ 时间 {time}s 无效,修正为 300s")
time = 300.0
else:
debug_print(f"✅ 时间 {time}s ({time/60:.1f}分钟) 有效")
# 🌪️ 搅拌速度验证
if stir_speed < 0 or stir_speed > 1500.0:
debug_print(f"⚠️ 搅拌速度 {stir_speed} RPM 超出范围,修正为 300 RPM")
stir_speed = 300.0
else:
debug_print(f"✅ 搅拌速度 {stir_speed} RPM 在正常范围内")
return temp, time, stir_speed
def generate_heat_chill_protocol(
@@ -37,7 +131,7 @@ def generate_heat_chill_protocol(
) -> List[Dict[str, Any]]:
"""
生成加热/冷却操作的协议序列 - 支持vessel字典
Args:
G: 设备图
vessel: 容器字典从XDL传入
@@ -51,58 +145,82 @@ def generate_heat_chill_protocol(
stir_speed: 搅拌速度 (RPM)
purpose: 操作目的说明
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 加热/冷却操作的动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print(f"开始生成加热冷却协议: vessel={vessel_id}, temp={temp}°C, "
f"time={time}, stir={stir} ({stir_speed} RPM), purpose='{purpose}'")
# 参数验证
if not vessel_id:
debug_print("🌡️" * 20)
debug_print("🚀 开始生成加热冷却协议支持vessel字典")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 🌡️ temp: {temp}°C")
debug_print(f" ⏰ time: {time}")
debug_print(f" 🎯 temp_spec: {temp_spec}")
debug_print(f" ⏱️ time_spec: {time_spec}")
debug_print(f" 🌪️ stir: {stir} ({stir_speed} RPM)")
debug_print(f" 🎭 purpose: '{purpose}'")
debug_print("🌡️" * 20)
# 📋 参数验证
debug_print("📍 步骤1: 参数验证... 🔧")
if not vessel_id: # 🔧 使用 vessel_id
debug_print("❌ vessel 参数不能为空! 😱")
raise ValueError("vessel 参数不能为空")
if vessel_id not in G.nodes():
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print(f"❌ 容器 '{vessel_id}' 不存在于系统中! 😞")
raise ValueError(f"容器 '{vessel_id}' 不存在于系统中")
# 参数解析
# 温度解析:优先使用 temp_spec
final_temp = parse_temperature_input(temp_spec, temp) if temp_spec else temp
debug_print("✅ 基础参数验证通过 🎯")
# 🔄 参数解析
debug_print("📍 步骤2: 参数解析... ⚡")
#温度解析:优先使用 temp_spec
final_temp = parse_temp_input(temp_spec, temp) if temp_spec else temp
# 时间解析:优先使用 time_spec
final_time = parse_time_input(time_spec) if time_spec else parse_time_input(time)
# 参数修正
final_temp, final_time, stir_speed = validate_and_fix_params(final_temp, final_time, stir_speed)
debug_print(f"最终参数: temp={final_temp}°C, time={final_time}s, stir_speed={stir_speed} RPM")
# 查找设备
debug_print(f"🎯 最终参数: temp={final_temp}°C, time={final_time}s, stir_speed={stir_speed} RPM")
# 🔍 查找设备
debug_print("📍 步骤3: 查找加热设备... 🔍")
try:
heatchill_id = find_connected_heatchill(G, vessel_id)
debug_print(f"使用加热设备: {heatchill_id}")
heatchill_id = find_connected_heatchill(G, vessel_id) # 🔧 使用 vessel_id
debug_print(f"🎉 使用加热设备: {heatchill_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)} 😭")
raise ValueError(f"无法找到加热设备: {str(e)}")
# 生成动作
# 模拟运行时间优化
# 🚀 生成动作
debug_print("📍 步骤4: 生成加热动作... 🔥")
# 🕐 模拟运行时间优化
debug_print(" ⏱️ 检查模拟运行时间限制...")
original_time = final_time
simulation_time_limit = 100.0 # 模拟运行时间限制100秒
if final_time > simulation_time_limit:
final_time = simulation_time_limit
debug_print(f"模拟运行优化: {original_time}s → {final_time}s (限制为{simulation_time_limit}s)")
debug_print(f" 🎮 模拟运行优化: {original_time}s → {final_time}s (限制为{simulation_time_limit}s)")
debug_print(f" 📊 时间缩短: {original_time/60:.1f}分钟 → {final_time/60:.1f}分钟 🚀")
else:
debug_print(f" ✅ 时间在限制内: {final_time}s ({final_time/60:.1f}分钟) 保持不变 🎯")
action_sequence = []
heatchill_action = {
"device_id": heatchill_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel},
"temp": float(final_temp),
"time": float(final_time),
"stir": bool(stir),
@@ -111,10 +229,21 @@ def generate_heat_chill_protocol(
}
}
action_sequence.append(heatchill_action)
debug_print(f"加热冷却协议生成完成: {len(action_sequence)} 个动作, "
f"vessel={vessel_id}, temp={final_temp}°C, time={final_time}s")
debug_print("✅ 加热动作已添加 🔥✨")
# 显示时间调整信息
if original_time != final_time:
debug_print(f" 🎭 模拟优化说明: 原计划 {original_time/60:.1f}分钟,实际模拟 {final_time/60:.1f}分钟 ⚡")
# 🎊 总结
debug_print("🎊" * 20)
debug_print(f"🎉 加热冷却协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"🥽 加热容器: {vessel_id}")
debug_print(f"🌡️ 目标温度: {final_temp}°C")
debug_print(f"⏰ 加热时间: {final_time}s ({final_time/60:.1f}分钟)")
debug_print("🎊" * 20)
return action_sequence
def generate_heat_chill_to_temp_protocol(
@@ -126,7 +255,7 @@ def generate_heat_chill_to_temp_protocol(
) -> List[Dict[str, Any]]:
"""生成加热到指定温度的协议(简化版)"""
vessel_id, _ = get_vessel(vessel)
debug_print(f"生成加热到温度协议: {vessel_id}{temp}°C")
debug_print(f"🌡️ 生成加热到温度协议: {vessel_id}{temp}°C")
return generate_heat_chill_protocol(G, vessel, temp, time, **kwargs)
def generate_heat_chill_start_protocol(
@@ -137,19 +266,21 @@ def generate_heat_chill_start_protocol(
**kwargs
) -> List[Dict[str, Any]]:
"""生成开始加热操作的协议序列"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, _ = get_vessel(vessel)
debug_print(f"生成启动加热协议: vessel={vessel_id}, temp={temp}°C")
debug_print("🔥 开始生成启动加热协议")
debug_print(f"🥽 vessel: {vessel} (ID: {vessel_id}), 🌡️ temp: {temp}°C")
# 基础验证
if not vessel_id or vessel_id not in G.nodes():
if not vessel_id or vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print("❌ 容器验证失败!")
raise ValueError("vessel 参数无效")
# 查找设备
heatchill_id = find_connected_heatchill(G, vessel_id)
heatchill_id = find_connected_heatchill(G, vessel_id) # 🔧 使用 vessel_id
# 生成动作
action_sequence = [{
"device_id": heatchill_id,
@@ -160,8 +291,8 @@ def generate_heat_chill_start_protocol(
"vessel": {"id": vessel_id},
}
}]
debug_print(f"启动加热协议生成完成")
debug_print(f"启动加热协议生成完成 🎯")
return action_sequence
def generate_heat_chill_stop_protocol(
@@ -170,19 +301,21 @@ def generate_heat_chill_stop_protocol(
**kwargs
) -> List[Dict[str, Any]]:
"""生成停止加热操作的协议序列"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, _ = get_vessel(vessel)
debug_print(f"生成停止加热协议: vessel={vessel_id}")
debug_print("🛑 开始生成停止加热协议")
debug_print(f"🥽 vessel: {vessel} (ID: {vessel_id})")
# 基础验证
if not vessel_id or vessel_id not in G.nodes():
if not vessel_id or vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print("❌ 容器验证失败!")
raise ValueError("vessel 参数无效")
# 查找设备
heatchill_id = find_connected_heatchill(G, vessel_id)
heatchill_id = find_connected_heatchill(G, vessel_id) # 🔧 使用 vessel_id
# 生成动作
action_sequence = [{
"device_id": heatchill_id,
@@ -190,6 +323,6 @@ def generate_heat_chill_stop_protocol(
"action_kwargs": {
}
}]
debug_print(f"停止加热协议生成完成")
debug_print(f"停止加热协议生成完成 🎯")
return action_sequence

View File

@@ -1,50 +1,105 @@
import networkx as nx
from typing import List, Dict, Any, Optional
from .utils.vessel_parser import get_vessel
from .utils.logger_util import debug_print
from .utils.unit_parser import parse_temperature_input, parse_time_input
def parse_temperature(temp_str: str) -> float:
"""
解析温度字符串,支持多种格式
Args:
temp_str: 温度字符串(如 "45 °C", "45°C", "45"
Returns:
float: 温度值(摄氏度)
"""
try:
# 移除常见的温度单位和符号
temp_clean = temp_str.replace("°C", "").replace("°", "").replace("C", "").strip()
return float(temp_clean)
except ValueError:
print(f"HYDROGENATE: 无法解析温度 '{temp_str}',使用默认温度 25°C")
return 25.0
def parse_time(time_str: str) -> float:
"""
解析时间字符串,支持多种格式
Args:
time_str: 时间字符串(如 "2 h", "120 min", "7200 s"
Returns:
float: 时间值(秒)
"""
try:
time_clean = time_str.lower().strip()
# 处理小时
if "h" in time_clean:
hours = float(time_clean.replace("h", "").strip())
return hours * 3600.0
# 处理分钟
if "min" in time_clean:
minutes = float(time_clean.replace("min", "").strip())
return minutes * 60.0
# 处理秒
if "s" in time_clean:
seconds = float(time_clean.replace("s", "").strip())
return seconds
# 默认按小时处理
return float(time_clean) * 3600.0
except ValueError:
print(f"HYDROGENATE: 无法解析时间 '{time_str}',使用默认时间 2小时")
return 7200.0 # 2小时
def find_associated_solenoid_valve(G: nx.DiGraph, device_id: str) -> Optional[str]:
"""查找与指定设备相关联的电磁阀"""
solenoid_valves = [
node for node in G.nodes()
node for node in G.nodes()
if ('solenoid' in (G.nodes[node].get('class') or '').lower()
or 'solenoid_valve' in node)
]
# 通过网络连接查找直接相连的电磁阀
for solenoid in solenoid_valves:
if G.has_edge(device_id, solenoid) or G.has_edge(solenoid, device_id):
return solenoid
# 通过命名规则查找关联的电磁阀
device_type = ""
if 'gas' in device_id.lower():
device_type = "gas"
elif 'h2' in device_id.lower() or 'hydrogen' in device_id.lower():
device_type = "gas"
if device_type:
for solenoid in solenoid_valves:
if device_type in solenoid.lower():
return solenoid
return None
def find_connected_device(G: nx.DiGraph, vessel: str, device_type: str) -> str:
"""
查找与容器相连的指定类型设备
Args:
G: 网络图
vessel: 容器名称
device_type: 设备类型 ('heater', 'stirrer', 'gas_source')
Returns:
str: 设备ID如果没有则返回None
"""
print(f"HYDROGENATE: 正在查找与容器 '{vessel}' 相连的 {device_type}...")
# 根据设备类型定义搜索关键词
if device_type == 'heater':
keywords = ['heater', 'heat', 'heatchill']
@@ -57,38 +112,40 @@ def find_connected_device(G: nx.DiGraph, vessel: str, device_type: str) -> str:
device_class = 'virtual_gas_source'
else:
return None
# 查找设备节点
device_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_name = node.lower()
node_class = node_data.get('class', '').lower()
# 通过名称匹配
if any(keyword in node_name for keyword in keywords):
device_nodes.append(node)
# 通过类型匹配
elif device_class in node_class:
device_nodes.append(node)
debug_print(f"找到的{device_type}节点: {device_nodes}")
print(f"HYDROGENATE: 找到的{device_type}节点: {device_nodes}")
# 检查是否有设备与目标容器相连
for device in device_nodes:
if G.has_edge(device, vessel) or G.has_edge(vessel, device):
debug_print(f"找到与容器 '{vessel}' 相连的{device_type}: {device}")
print(f"HYDROGENATE: 找到与容器 '{vessel}' 相连的{device_type}: {device}")
return device
# 如果没有直接连接,查找距离最近的设备
for device in device_nodes:
try:
path = nx.shortest_path(G, source=device, target=vessel)
if len(path) <= 3: # 最多2个中间节点
debug_print(f"找到距离较近的{device_type}: {device}")
print(f"HYDROGENATE: 找到距离较近的{device_type}: {device}")
return device
except nx.NetworkXNoPath:
continue
debug_print(f"未找到与容器 '{vessel}' 相连的{device_type}")
print(f"HYDROGENATE: 未找到与容器 '{vessel}' 相连的{device_type}")
return None
@@ -101,31 +158,36 @@ def generate_hydrogenate_protocol(
) -> List[Dict[str, Any]]:
"""
生成氢化反应协议序列 - 支持vessel字典
Args:
G: 有向图,节点为容器和设备
vessel: 反应容器字典从XDL传入
temp: 反应温度(如 "45 °C"
time: 反应时间(如 "2 h"
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
# 解析参数
temperature = parse_temperature_input(temp)
reaction_time = parse_time_input(time)
debug_print(f"开始生成氢化反应协议: vessel={vessel_id}, "
f"temp={temperature}°C, time={reaction_time/3600:.1f}h")
# 记录氢化前的容器状态
temperature = parse_temperature(temp)
reaction_time = parse_time(time)
print("🧪" * 20)
print(f"HYDROGENATE: 开始生成氢化反应协议支持vessel字典")
print(f"📝 输入参数:")
print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
print(f" 🌡️ 反应温度: {temperature}°C")
print(f" ⏰ 反应时间: {reaction_time/3600:.1f} 小时")
print("🧪" * 20)
# 🔧 新增:记录氢化前的容器状态(可选,氢化反应通常不改变体积)
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -133,36 +195,47 @@ def generate_hydrogenate_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
print(f"📊 氢化前液体体积: {original_liquid_volume:.2f}mL")
# 1. 验证目标容器存在
if vessel_id not in G.nodes():
debug_print(f"⚠️ 容器 '{vessel_id}' 不存在于系统中,跳过氢化反应")
print("📍 步骤1: 验证目标容器...")
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
print(f"⚠️ HYDROGENATE: 警告 - 容器 '{vessel_id}' 不存在于系统中,跳过氢化反应")
return action_sequence
print(f"✅ 容器 '{vessel_id}' 验证通过")
# 2. 查找相连的设备
heater_id = find_connected_device(G, vessel_id, 'heater')
stirrer_id = find_connected_device(G, vessel_id, 'stirrer')
gas_source_id = find_connected_device(G, vessel_id, 'gas_source')
debug_print(f"设备配置: heater={heater_id or '未找到'}, "
f"stirrer={stirrer_id or '未找到'}, gas={gas_source_id or '未找到'}")
print("📍 步骤2: 查找相连设备...")
heater_id = find_connected_device(G, vessel_id, 'heater') # 🔧 使用 vessel_id
stirrer_id = find_connected_device(G, vessel_id, 'stirrer') # 🔧 使用 vessel_id
gas_source_id = find_connected_device(G, vessel_id, 'gas_source') # 🔧 使用 vessel_id
print(f"🔧 设备配置:")
print(f" 🔥 加热器: {heater_id or '未找到'}")
print(f" 🌪️ 搅拌器: {stirrer_id or '未找到'}")
print(f" 💨 气源: {gas_source_id or '未找到'}")
# 3. 启动搅拌器
print("📍 步骤3: 启动搅拌器...")
if stirrer_id:
print(f"🌪️ 启动搅拌器 {stirrer_id}")
action_sequence.append({
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": vessel_id, # 🔧 使用 vessel_id
"stir_speed": 300.0,
"purpose": "氢化反应: 开始搅拌"
}
})
print("✅ 搅拌器启动动作已添加")
else:
debug_print(f"⚠️ 未找到搅拌器,继续执行")
print(f"⚠️ HYDROGENATE: 警告 - 未找到搅拌器,继续执行")
# 4. 启动气源(氢气)
print("📍 步骤4: 启动氢气源...")
if gas_source_id:
print(f"💨 启动气源 {gas_source_id} (氢气)")
action_sequence.append({
"device_id": gas_source_id,
"action_name": "set_status",
@@ -170,10 +243,11 @@ def generate_hydrogenate_protocol(
"string": "ON"
}
})
# 查找相关的电磁阀
gas_solenoid = find_associated_solenoid_valve(G, gas_source_id)
if gas_solenoid:
print(f"🚪 开启气源电磁阀 {gas_solenoid}")
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
@@ -181,10 +255,12 @@ def generate_hydrogenate_protocol(
"command": "OPEN"
}
})
print("✅ 氢气源启动动作已添加")
else:
debug_print(f"⚠️ 未找到气源,继续执行")
print(f"⚠️ HYDROGENATE: 警告 - 未找到气源,继续执行")
# 5. 等待气体稳定
print("📍 步骤5: 等待气体环境稳定...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -192,19 +268,22 @@ def generate_hydrogenate_protocol(
"description": "等待氢气环境稳定"
}
})
print("✅ 气体稳定等待动作已添加")
# 6. 启动加热器
print("📍 步骤6: 启动加热反应...")
if heater_id:
print(f"🔥 启动加热器 {heater_id}{temperature}°C")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": vessel_id, # 🔧 使用 vessel_id
"temp": temperature,
"purpose": f"氢化反应: 加热到 {temperature}°C"
}
})
# 等待温度稳定
action_sequence.append({
"action_name": "wait",
@@ -213,38 +292,52 @@ def generate_hydrogenate_protocol(
"description": f"等待温度稳定到 {temperature}°C"
}
})
# 模拟运行时间优化
# 🕐 模拟运行时间优化
print(" ⏰ 检查模拟运行时间限制...")
original_reaction_time = reaction_time
simulation_time_limit = 60.0
simulation_time_limit = 60.0 # 模拟运行时间限制60秒
if reaction_time > simulation_time_limit:
reaction_time = simulation_time_limit
debug_print(f"模拟运行优化: {original_reaction_time}s → {reaction_time}s")
print(f" 🎮 模拟运行优化: {original_reaction_time}s → {reaction_time}s (限制为{simulation_time_limit}s)")
print(f" 📊 时间缩短: {original_reaction_time/3600:.2f}小时 → {reaction_time/60:.1f}分钟")
else:
print(f" ✅ 时间在限制内: {reaction_time}s ({reaction_time/60:.1f}分钟) 保持不变")
# 保持反应温度
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": vessel_id, # 🔧 使用 vessel_id
"temp": temperature,
"time": reaction_time,
"purpose": f"氢化反应: 保持 {temperature}°C反应 {reaction_time/60:.1f}分钟" + (f" (模拟时间)" if original_reaction_time != reaction_time else "")
}
})
# 显示时间调整信息
if original_reaction_time != reaction_time:
print(f" 🎭 模拟优化说明: 原计划 {original_reaction_time/3600:.2f}小时,实际模拟 {reaction_time/60:.1f}分钟")
print("✅ 加热反应动作已添加")
else:
debug_print(f"⚠️ 未找到加热器,使用室温反应")
# 室温反应也需要时间优化
print(f"⚠️ HYDROGENATE: 警告 - 未找到加热器,使用室温反应")
# 🕐 室温反应也需要时间优化
print(" ⏰ 检查室温反应模拟时间限制...")
original_reaction_time = reaction_time
simulation_time_limit = 60.0
simulation_time_limit = 60.0 # 模拟运行时间限制60秒
if reaction_time > simulation_time_limit:
reaction_time = simulation_time_limit
debug_print(f"室温反应时间优化: {original_reaction_time}s → {reaction_time}s")
print(f" 🎮 室温反应时间优化: {original_reaction_time}s → {reaction_time}s")
print(f" 📊 时间缩短: {original_reaction_time/3600:.2f}小时 → {reaction_time/60:.1f}分钟")
else:
print(f" ✅ 室温反应时间在限制内: {reaction_time}s 保持不变")
# 室温反应,只等待时间
action_sequence.append({
"action_name": "wait",
@@ -253,19 +346,28 @@ def generate_hydrogenate_protocol(
"description": f"室温氢化反应 {reaction_time/60:.1f}分钟" + (f" (模拟时间)" if original_reaction_time != reaction_time else "")
}
})
# 显示时间调整信息
if original_reaction_time != reaction_time:
print(f" 🎭 室温反应优化说明: 原计划 {original_reaction_time/3600:.2f}小时,实际模拟 {reaction_time/60:.1f}分钟")
print("✅ 室温反应等待动作已添加")
# 7. 停止加热
print("📍 步骤7: 停止加热...")
if heater_id:
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": vessel_id, # 🔧 使用 vessel_id
"purpose": "氢化反应完成,停止加热"
}
})
print("✅ 停止加热动作已添加")
# 8. 等待冷却
print("📍 步骤8: 等待冷却...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -273,12 +375,15 @@ def generate_hydrogenate_protocol(
"description": "等待反应混合物冷却"
}
})
print("✅ 冷却等待动作已添加")
# 9. 停止气源
print("📍 步骤9: 停止氢气源...")
if gas_source_id:
# 先关闭电磁阀
gas_solenoid = find_associated_solenoid_valve(G, gas_source_id)
if gas_solenoid:
print(f"🚪 关闭气源电磁阀 {gas_solenoid}")
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
@@ -286,7 +391,7 @@ def generate_hydrogenate_protocol(
"command": "CLOSED"
}
})
# 再关闭气源
action_sequence.append({
"device_id": gas_source_id,
@@ -295,24 +400,59 @@ def generate_hydrogenate_protocol(
"string": "OFF"
}
})
print("✅ 氢气源停止动作已添加")
# 10. 停止搅拌
print("📍 步骤10: 停止搅拌...")
if stirrer_id:
action_sequence.append({
"device_id": stirrer_id,
"action_name": "stop_stir",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": vessel_id, # 🔧 使用 vessel_id
"purpose": "氢化反应完成,停止搅拌"
}
})
# 氢化完成后的状态(氢化反应通常不改变体积)
final_liquid_volume = original_liquid_volume
print("✅ 停止搅拌动作已添加")
# 🔧 新增:氢化完成后的状态(氢化反应通常不改变体积)
final_liquid_volume = original_liquid_volume # 氢化反应体积基本不变
# 总结
debug_print(f"氢化反应协议生成完成: {len(action_sequence)} 个动作, "
f"vessel={vessel_id}, temp={temperature}°C, time={reaction_time/60:.1f}min, "
f"volume={original_liquid_volume:.2f}{final_liquid_volume:.2f}mL")
print("🎊" * 20)
print(f"🎉 氢化反应协议生成完成! ✨")
print(f"📊 总动作数: {len(action_sequence)}")
print(f"🥽 反应容器: {vessel_id}")
print(f"🌡️ 反应温度: {temperature}°C")
print(f"⏰ 反应时间: {reaction_time/60:.1f}分钟")
print(f"⏱️ 预计总时间: {(reaction_time + 450)/3600:.1f} 小时")
print(f"📊 体积状态:")
print(f" - 反应前体积: {original_liquid_volume:.2f}mL")
print(f" - 反应后体积: {final_liquid_volume:.2f}mL (氢化反应体积基本不变)")
print("🎊" * 20)
return action_sequence
# 测试函数
def test_hydrogenate_protocol():
"""测试氢化反应协议"""
print("🧪 === HYDROGENATE PROTOCOL 测试 === ✨")
# 测试温度解析
test_temps = ["45 °C", "45°C", "45", "25 C", "invalid"]
for temp in test_temps:
parsed = parse_temperature(temp)
print(f"温度 '{temp}' -> {parsed}°C")
# 测试时间解析
test_times = ["2 h", "120 min", "7200 s", "2", "invalid"]
for time in test_times:
parsed = parse_time(time)
print(f"时间 '{time}' -> {parsed/3600:.1f} 小时")
print("✅ 测试完成 🎉")
if __name__ == "__main__":
test_hydrogenate_protocol()

View File

@@ -2,18 +2,99 @@ import traceback
import numpy as np
import networkx as nx
import asyncio
import time as time_module # 重命名time模块
import time as time_module # 🔧 重命名time模块
from typing import List, Dict, Any
import logging
import sys
from .utils.logger_util import debug_print
from .utils.vessel_parser import get_vessel
from .utils.resource_helper import get_resource_liquid_volume
from unilabos.compile.utils.vessel_parser import get_vessel
logger = logging.getLogger(__name__)
def debug_print(message):
"""强制输出调试信息"""
output = f"[TRANSFER] {message}"
logger.info(output)
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
"""
从容器节点的数据中获取液体体积
"""
debug_print(f"🔍 开始读取容器 '{vessel}' 的液体体积...")
if vessel not in G.nodes():
logger.error(f"❌ 容器 '{vessel}' 不存在于系统图中")
debug_print(f" - 系统中的容器: {list(G.nodes())}")
return 0.0
vessel_data = G.nodes[vessel].get('data', {})
debug_print(f"📋 容器 '{vessel}' 的数据结构: {vessel_data}")
total_volume = 0.0
# 方法1检查 'liquid' 字段(列表格式)
debug_print("🔍 方法1: 检查 'liquid' 字段...")
if 'liquid' in vessel_data:
liquids = vessel_data['liquid']
debug_print(f" - liquid 字段类型: {type(liquids)}")
debug_print(f" - liquid 字段内容: {liquids}")
if isinstance(liquids, list):
debug_print(f" - liquid 是列表,包含 {len(liquids)} 个元素")
for i, liquid in enumerate(liquids):
debug_print(f" 液体 {i + 1}: {liquid}")
if isinstance(liquid, dict):
volume_keys = ['liquid_volume', 'volume', 'amount', 'quantity']
for key in volume_keys:
if key in liquid:
try:
vol = float(liquid[key])
total_volume += vol
debug_print(f" ✅ 从 '{key}' 读取体积: {vol}mL")
break
except (ValueError, TypeError) as e:
logger.warning(f" ⚠️ 无法转换 '{key}': {liquid[key]} -> {str(e)}")
continue
else:
debug_print(f" - liquid 不是列表: {type(liquids)}")
else:
debug_print(" - 没有 'liquid' 字段")
# 方法2检查直接的体积字段
debug_print("🔍 方法2: 检查直接体积字段...")
volume_keys = ['total_volume', 'volume', 'liquid_volume', 'amount', 'current_volume']
for key in volume_keys:
if key in vessel_data:
try:
vol = float(vessel_data[key])
total_volume = max(total_volume, vol) # 取最大值
debug_print(f" ✅ 从容器数据 '{key}' 读取体积: {vol}mL")
break
except (ValueError, TypeError) as e:
logger.warning(f" ⚠️ 无法转换 '{key}': {vessel_data[key]} -> {str(e)}")
continue
# 方法3检查 'state' 或 'status' 字段
debug_print("🔍 方法3: 检查 'state' 字段...")
if 'state' in vessel_data and isinstance(vessel_data['state'], dict):
state = vessel_data['state']
debug_print(f" - state 字段内容: {state}")
if 'volume' in state:
try:
vol = float(state['volume'])
total_volume = max(total_volume, vol)
debug_print(f" ✅ 从容器状态读取体积: {vol}mL")
except (ValueError, TypeError) as e:
logger.warning(f" ⚠️ 无法转换 state.volume: {state['volume']} -> {str(e)}")
else:
debug_print(" - 没有 'state' 字段或不是字典")
debug_print(f"📊 容器 '{vessel}' 最终检测体积: {total_volume}mL")
return total_volume
def is_integrated_pump(node_class: str, node_name: str = "") -> bool:
"""
判断是否为泵阀一体设备
@@ -41,77 +122,108 @@ def is_integrated_pump(node_class: str, node_name: str = "") -> bool:
def find_connected_pump(G, valve_node):
"""
查找与阀门相连的泵节点
区分电磁阀和多通阀,电磁阀不参与泵查找
查找与阀门相连的泵节点 - 修复版本
🔧 修复:区分电磁阀和多通阀,电磁阀不参与泵查找
"""
# 检查节点类型,电磁阀不应该查找泵
debug_print(f"🔍 查找与阀门 {valve_node} 相连的泵...")
# 🔧 关键修复:检查节点类型,电磁阀不应该查找泵
node_data = G.nodes.get(valve_node, {})
node_class = node_data.get("class", "") or ""
debug_print(f" - 阀门类型: {node_class}")
# 如果是电磁阀,不应该查找泵(电磁阀只是开关)
if ("solenoid" in node_class.lower() or "solenoid_valve" in valve_node.lower()):
debug_print(f" ⚠️ {valve_node} 是电磁阀,不应该查找泵节点")
raise ValueError(f"电磁阀 {valve_node} 不应该参与泵查找逻辑")
# 只有多通阀等复杂阀门才需要查找连接的泵
if ("multiway" in node_class.lower() or "valve" in node_class.lower()):
debug_print(f" - {valve_node} 是多通阀,查找连接的泵...")
# 方法1直接相邻的泵
for neighbor in G.neighbors(valve_node):
neighbor_class = G.nodes[neighbor].get("class", "") or ""
# 排除非 电磁阀 和 泵 的邻居
debug_print(f" - 检查邻居 {neighbor}, class: {neighbor_class}")
if "pump" in neighbor_class.lower():
debug_print(f" ✅ 找到直接相连的泵: {neighbor}")
return neighbor
# 方法2通过路径查找泵最多2跳
pump_nodes = [
node_id for node_id in G.nodes()
if "pump" in (G.nodes[node_id].get("class", "") or "").lower()
]
debug_print(f" - 未找到直接相连的泵,尝试路径查找...")
# 获取所有泵节点
pump_nodes = []
for node_id in G.nodes():
node_class = G.nodes[node_id].get("class", "") or ""
if "pump" in node_class.lower():
pump_nodes.append(node_id)
debug_print(f" - 系统中的泵节点: {pump_nodes}")
# 查找到泵的最短路径
for pump_node in pump_nodes:
try:
if nx.has_path(G, valve_node, pump_node):
path = nx.shortest_path(G, valve_node, pump_node)
if len(path) - 1 <= 2: # 最多允许2跳
path_length = len(path) - 1
debug_print(f" - 到泵 {pump_node} 的路径: {path}, 距离: {path_length}")
if path_length <= 2: # 最多允许2跳
debug_print(f" ✅ 通过路径找到泵: {pump_node}")
return pump_node
except nx.NetworkXNoPath:
continue
# 最终失败
debug_print(f" ❌ 完全找不到泵节点")
raise ValueError(f"未找到与阀 {valve_node} 相连的泵节点")
def build_pump_valve_maps(G, pump_backbone):
"""
构建泵-阀门映射
过滤掉电磁阀,只处理需要泵的多通阀
构建泵-阀门映射 - 修复版本
🔧 修复:过滤掉电磁阀,只处理需要泵的多通阀
"""
pumps_from_node = {}
valve_from_node = {}
# 过滤掉电磁阀
debug_print(f"🔧 构建泵-阀门映射,原始骨架: {pump_backbone}")
# 🔧 关键修复:过滤掉电磁阀
filtered_backbone = []
for node in pump_backbone:
node_data = G.nodes.get(node, {})
node_class = node_data.get("class", "") or ""
# 跳过电磁阀
if ("solenoid" in node_class.lower() or "solenoid_valve" in node.lower()):
debug_print(f" - 跳过电磁阀: {node}")
continue
filtered_backbone.append(node)
debug_print(f"🔧 过滤后的骨架: {filtered_backbone}")
for node in filtered_backbone:
node_data = G.nodes.get(node, {})
node_class = node_data.get("class", "") or ""
if is_integrated_pump(node_class, node):
pumps_from_node[node] = node
valve_from_node[node] = node
debug_print(f" - 集成泵-阀: {node}")
else:
try:
pump_node = find_connected_pump(G, node)
pumps_from_node[node] = pump_node
valve_from_node[node] = node
except ValueError:
debug_print(f" - 阀门 {node} -> 泵 {pump_node}")
except ValueError as e:
debug_print(f" - 跳过节点 {node}: {str(e)}")
continue
debug_print(f"泵-阀映射: pumps={pumps_from_node}, valves={valve_from_node}")
debug_print(f"🔧 最终映射: pumps={pumps_from_node}, valves={valve_from_node}")
return pumps_from_node, valve_from_node
@@ -124,8 +236,8 @@ def generate_pump_protocol(
transfer_flowrate: float = 0.5,
) -> List[Dict[str, Any]]:
"""
生成泵操作的动作序列
正确处理包含电磁阀的路径
生成泵操作的动作序列 - 修复版本
🔧 修复:正确处理包含电磁阀的路径
"""
pump_action_sequence = []
nodes = G.nodes(data=True)
@@ -144,6 +256,7 @@ def generate_pump_protocol(
logger.warning(f"transfer_flowrate <= 0使用默认值 {transfer_flowrate}mL/s")
# 验证容器存在
debug_print(f"🔍 验证源容器 '{from_vessel_id}' 和目标容器 '{to_vessel_id}' 是否存在...")
if from_vessel_id not in G.nodes():
logger.error(f"源容器 '{from_vessel_id}' 不存在")
return pump_action_sequence
@@ -159,24 +272,28 @@ def generate_pump_protocol(
logger.error(f"无法找到从 '{from_vessel_id}''{to_vessel_id}' 的路径")
return pump_action_sequence
# 正确构建泵骨架,排除容器和电磁阀
# 🔧 关键修复:正确构建泵骨架,排除容器和电磁阀
pump_backbone = []
for node in shortest_path:
# 跳过起始和结束容器
if node == from_vessel_id or node == to_vessel_id:
continue
# 跳过电磁阀(电磁阀不参与泵操作)
node_data = G.nodes.get(node, {})
node_class = node_data.get("class", "") or ""
if ("solenoid" in node_class.lower() or "solenoid_valve" in node.lower()):
debug_print(f"PUMP_TRANSFER: 跳过电磁阀 {node}")
continue
# 只包含多通阀和泵
if ("multiway" in node_class.lower() or "valve" in node_class.lower() or "pump" in node_class.lower()):
pump_backbone.append(node)
debug_print(f"PUMP_TRANSFER: 泵骨架: {pump_backbone}")
debug_print(f"PUMP_TRANSFER: 过滤后的泵骨架: {pump_backbone}")
if not pump_backbone:
debug_print("PUMP_TRANSFER: 没有泵骨架节点")
debug_print("PUMP_TRANSFER: 没有泵骨架节点,可能是直接容器连接或只有电磁阀")
return pump_action_sequence
if transfer_flowrate == 0:
@@ -192,7 +309,7 @@ def generate_pump_protocol(
debug_print("PUMP_TRANSFER: 没有可用的泵映射")
return pump_action_sequence
# 安全地获取最小转移体积
# 🔧 修复:安全地获取最小转移体积
try:
min_transfer_volumes = []
for node in pump_backbone:
@@ -222,19 +339,19 @@ def generate_pump_protocol(
volume_left = volume
debug_print(f"PUMP_TRANSFER: 需要 {repeats} 次转移,单次最大体积 {min_transfer_volume} mL")
# 只在开头打印总体概览
# 🆕 只在开头打印总体概览
if repeats > 1:
debug_print(f"分批转移: 总体积 {volume:.2f}mL, {repeats}, 单次最大 {min_transfer_volume} mL")
logger.info(f"分批转移: 总体积 {volume:.2f}mL, {repeats} 次转移")
debug_print(f"🔄 分批转移概览: 总体积 {volume:.2f}mL,需要 {repeats}转移")
logger.info(f"🔄 分批转移概览: 总体积 {volume:.2f}mL,需要 {repeats} 次转移")
# 创建一个自定义的wait动作用于在执行时打印日志
# 🔧 创建一个自定义的wait动作用于在执行时打印日志
def create_progress_log_action(message: str) -> Dict[str, Any]:
"""创建一个特殊的等待动作,在执行时打印进度日志"""
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"progress_message": message
"time": 0.1, # 很短的等待时间
"progress_message": message # 自定义字段,用于进度日志
}
}
@@ -242,12 +359,12 @@ def generate_pump_protocol(
for i in range(repeats):
current_volume = min(volume_left, min_transfer_volume)
# 🆕 在每次循环开始时添加进度日志
if repeats > 1:
pump_action_sequence.append(create_progress_log_action(
f"{i + 1}/{repeats} 次转移: {current_volume:.2f}mL ({from_vessel_id} -> {to_vessel_id})"
))
start_message = f"🚀 准备开始第 {i + 1}/{repeats} 次转移: {current_volume:.2f}mL ({from_vessel_id}{to_vessel_id}) 🚰"
pump_action_sequence.append(create_progress_log_action(start_message))
# 安全地获取边数据
# 🔧 修复:安全地获取边数据
def get_safe_edge_data(node_a, node_b, key):
try:
edge_data = G.get_edge_data(node_a, node_b)
@@ -350,13 +467,13 @@ def generate_pump_protocol(
])
pump_action_sequence.append({"action_name": "wait", "action_kwargs": {"time": 3}})
# 在每次循环结束时添加完成日志
# 🆕 在每次循环结束时添加完成日志
if repeats > 1:
remaining_volume = volume_left - current_volume
if remaining_volume > 0:
end_message = f"{i + 1}/{repeats} 次完成, 剩余 {remaining_volume:.2f}mL"
end_message = f"{i + 1}/{repeats}转移完成! 剩余 {remaining_volume:.2f}mL 待转移 ⏳"
else:
end_message = f"{i + 1}/{repeats} 次完成, 全部 {volume:.2f}mL 转移完毕"
end_message = f"🎉 {i + 1}/{repeats}转移完成! 全部 {volume:.2f}mL 转移完毕"
pump_action_sequence.append(create_progress_log_action(end_message))
@@ -398,205 +515,300 @@ def generate_pump_protocol_with_rinsing(
to_vessel_id, _ = get_vessel(to_vessel)
with generate_pump_protocol_with_rinsing._lock:
debug_print(f"PUMP_TRANSFER: {from_vessel_id} -> {to_vessel_id}, volume={volume}, flowrate={flowrate}")
debug_print("=" * 60)
debug_print(f"PUMP_TRANSFER: 🚀 开始生成协议 (同步版本)")
debug_print(f" 📍 路径: {from_vessel_id} -> {to_vessel_id}")
debug_print(f" 🕐 时间戳: {time_module.time()}")
debug_print(f" 🔒 获得执行锁")
debug_print("=" * 60)
# 短暂延迟,避免快速重复调用
time_module.sleep(0.01)
debug_print("🔍 步骤1: 开始体积处理...")
# 1. 处理体积参数
final_volume = volume
debug_print(f"📋 初始设置: final_volume = {final_volume}")
# 如果volume为0从容器读取实际体积
# 🔧 修复:如果volume为0ROS2传入的空值,从容器读取实际体积
if volume == 0.0:
debug_print("🎯 检测到 volume=0.0,开始自动体积检测...")
actual_volume = get_resource_liquid_volume(G.nodes.get(from_vessel_id, {}))
# 直接从源容器读取实际体积
actual_volume = get_vessel_liquid_volume(G, from_vessel_id)
debug_print(f"📖 从容器 '{from_vessel_id}' 读取到体积: {actual_volume}mL")
if actual_volume > 0:
final_volume = actual_volume
debug_print(f"✅ 成功设置体积为: {final_volume}mL")
else:
final_volume = 10.0
logger.warning(f"无法从容器读取体积,使用默认值: {final_volume}mL")
final_volume = 10.0 # 如果读取失败,使用默认值
logger.warning(f"⚠️ 无法从容器读取体积,使用默认值: {final_volume}mL")
else:
debug_print(f"📌 体积非零,直接使用: {final_volume}mL")
# 处理 amount 参数
if amount and amount.strip():
debug_print(f"🔍 检测到 amount 参数: '{amount}',开始解析...")
parsed_volume = _parse_amount_to_volume(amount)
debug_print(f"📖 从 amount 解析得到体积: {parsed_volume}mL")
if parsed_volume > 0:
final_volume = parsed_volume
debug_print(f"✅ 使用从 amount 解析的体积: {final_volume}mL")
elif parsed_volume == 0.0 and amount.lower().strip() == "all":
actual_volume = get_resource_liquid_volume(G.nodes.get(from_vessel_id, {}))
debug_print("🎯 检测到 amount='all',从容器读取全部体积...")
actual_volume = get_vessel_liquid_volume(G, from_vessel_id)
if actual_volume > 0:
final_volume = actual_volume
debug_print(f"✅ amount='all',设置体积为: {final_volume}mL")
# 最终体积验证
debug_print(f"🔍 步骤2: 最终体积验证...")
if final_volume <= 0:
logger.error(f"体积无效: {final_volume}mL")
logger.error(f"体积无效: {final_volume}mL")
final_volume = 10.0
logger.warning(f"强制设置为默认值: {final_volume}mL")
logger.warning(f"⚠️ 强制设置为默认值: {final_volume}mL")
debug_print(f"最终体积: {final_volume}mL")
debug_print(f"✅ 最终确定体积: {final_volume}mL")
# 2. 处理流速参数
debug_print(f"🔍 步骤3: 处理流速参数...")
debug_print(f" - 原始 flowrate: {flowrate}")
debug_print(f" - 原始 transfer_flowrate: {transfer_flowrate}")
final_flowrate = flowrate if flowrate > 0 else 2.5
final_transfer_flowrate = transfer_flowrate if transfer_flowrate > 0 else 0.5
if flowrate <= 0:
logger.warning(f"flowrate <= 0修正为: {final_flowrate}mL/s")
logger.warning(f"⚠️ flowrate <= 0修正为: {final_flowrate}mL/s")
if transfer_flowrate <= 0:
logger.warning(f"transfer_flowrate <= 0修正为: {final_transfer_flowrate}mL/s")
logger.warning(f"⚠️ transfer_flowrate <= 0修正为: {final_transfer_flowrate}mL/s")
debug_print(f"✅ 修正后流速: flowrate={final_flowrate}mL/s, transfer_flowrate={final_transfer_flowrate}mL/s")
# 3. 根据时间计算流速
if time > 0 and final_volume > 0:
debug_print(f"🔍 步骤4: 根据时间计算流速...")
calculated_flowrate = final_volume / time
debug_print(f" - 计算得到流速: {calculated_flowrate}mL/s")
if flowrate <= 0 or flowrate == 2.5:
final_flowrate = min(calculated_flowrate, 10.0)
debug_print(f" - 调整 flowrate 为: {final_flowrate}mL/s")
if transfer_flowrate <= 0 or transfer_flowrate == 0.5:
final_transfer_flowrate = min(calculated_flowrate, 5.0)
debug_print(f" - 调整 transfer_flowrate 为: {final_transfer_flowrate}mL/s")
# 4. 根据速度规格调整
if rate_spec:
debug_print(f"🔍 步骤5: 根据速度规格调整...")
debug_print(f" - 速度规格: '{rate_spec}'")
if rate_spec == "dropwise":
final_flowrate = min(final_flowrate, 0.1)
final_transfer_flowrate = min(final_transfer_flowrate, 0.1)
debug_print(f" - dropwise模式流速调整为: {final_flowrate}mL/s")
elif rate_spec == "slowly":
final_flowrate = min(final_flowrate, 0.5)
final_transfer_flowrate = min(final_transfer_flowrate, 0.3)
debug_print(f" - slowly模式流速调整为: {final_flowrate}mL/s")
elif rate_spec == "quickly":
final_flowrate = max(final_flowrate, 5.0)
final_transfer_flowrate = max(final_transfer_flowrate, 2.0)
debug_print(f"速度规格 '{rate_spec}': flowrate={final_flowrate}, transfer={final_transfer_flowrate}")
debug_print(f" - quickly模式流速调整为: {final_flowrate}mL/s")
# 5. 处理冲洗参数
debug_print(f"🔍 步骤6: 处理冲洗参数...")
final_rinsing_solvent = rinsing_solvent
final_rinsing_volume = rinsing_volume if rinsing_volume > 0 else 5.0
final_rinsing_repeats = rinsing_repeats if rinsing_repeats > 0 else 2
if rinsing_volume <= 0:
logger.warning(f"rinsing_volume <= 0修正为: {final_rinsing_volume}mL")
logger.warning(f"⚠️ rinsing_volume <= 0修正为: {final_rinsing_volume}mL")
if rinsing_repeats <= 0:
logger.warning(f"rinsing_repeats <= 0修正为: {final_rinsing_repeats}")
logger.warning(f"⚠️ rinsing_repeats <= 0修正为: {final_rinsing_repeats}")
# 根据物理属性调整冲洗参数
if viscous or solid:
final_rinsing_repeats = max(final_rinsing_repeats, 3)
final_rinsing_volume = max(final_rinsing_volume, 10.0)
debug_print(f"🧪 粘稠/固体物质,调整冲洗参数:{final_rinsing_repeats}次,{final_rinsing_volume}mL")
# 参数总结
debug_print(f"最终参数: volume={final_volume}mL, flowrate={final_flowrate}mL/s, "
f"transfer_flowrate={final_transfer_flowrate}mL/s, "
f"rinsing={final_rinsing_solvent}/{final_rinsing_volume}mL/{final_rinsing_repeats}")
debug_print("📊 最终参数总结:")
debug_print(f" - 体积: {final_volume}mL")
debug_print(f" - 流速: {final_flowrate}mL/s")
debug_print(f" - 转移流速: {final_transfer_flowrate}mL/s")
debug_print(f" - 冲洗溶剂: '{final_rinsing_solvent}'")
debug_print(f" - 冲洗体积: {final_rinsing_volume}mL")
debug_print(f" - 冲洗次数: {final_rinsing_repeats}")
# ========== 执行基础转移 ==========
debug_print("🔧 步骤7: 开始执行基础转移...")
# 执行基础转移
try:
debug_print(f" - 调用 generate_pump_protocol...")
debug_print(
f" - 参数: G, '{from_vessel_id}', '{to_vessel_id}', {final_volume}, {final_flowrate}, {final_transfer_flowrate}")
pump_action_sequence = generate_pump_protocol(
G, from_vessel_id, to_vessel_id, final_volume,
final_flowrate, final_transfer_flowrate
)
debug_print(f"基础转移生成了 {len(pump_action_sequence)} 个动作")
debug_print(f" - generate_pump_protocol 返回结果:")
debug_print(f" - 动作序列长度: {len(pump_action_sequence)}")
debug_print(f" - 动作序列是否为空: {len(pump_action_sequence) == 0}")
if not pump_action_sequence:
debug_print("基础转移协议为空")
debug_print("基础转移协议生成为空,可能是路径问题")
debug_print(f" - 源容器存在: {from_vessel_id in G.nodes()}")
debug_print(f" - 目标容器存在: {to_vessel_id in G.nodes()}")
if from_vessel_id in G.nodes() and to_vessel_id in G.nodes():
try:
path = nx.shortest_path(G, source=from_vessel_id, target=to_vessel_id)
debug_print(f"路径存在: {path}")
except Exception:
pass
debug_print(f" - 路径存在: {path}")
except Exception as path_error:
debug_print(f" - 无法找到路径: {str(path_error)}")
return [
{
"device_id": "system",
"action_name": "log_message",
"action_kwargs": {
"message": f"路径问题,无法转移: {final_volume}mL 从 {from_vessel_id}{to_vessel_id}"
"message": f"⚠️ 路径问题,无法转移: {final_volume}mL 从 {from_vessel_id}{to_vessel_id}"
}
}
]
debug_print(f"✅ 基础转移生成了 {len(pump_action_sequence)} 个动作")
# 打印前几个动作用于调试
if len(pump_action_sequence) > 0:
debug_print("🔍 前几个动作预览:")
for i, action in enumerate(pump_action_sequence[:3]):
debug_print(f" 动作 {i + 1}: {action}")
if len(pump_action_sequence) > 3:
debug_print(f" ... 还有 {len(pump_action_sequence) - 3} 个动作")
except Exception as e:
debug_print(f"基础转移失败: {str(e)}\n{traceback.format_exc()}")
debug_print(f"基础转移失败: {str(e)}")
import traceback
debug_print(f"详细错误: {traceback.format_exc()}")
return [
{
"device_id": "system",
"action_name": "log_message",
"action_kwargs": {
"message": f"转移失败: {final_volume}mL 从 {from_vessel_id}{to_vessel_id}, 错误: {str(e)}"
"message": f"转移失败: {final_volume}mL 从 {from_vessel_id}{to_vessel_id}, 错误: {str(e)}"
}
}
]
# 执行冲洗操作
# ========== 执行冲洗操作 ==========
debug_print("🔧 步骤8: 检查冲洗操作...")
if final_rinsing_solvent and final_rinsing_solvent.strip() and final_rinsing_repeats > 0:
debug_print(f"🧽 开始冲洗操作,溶剂: '{final_rinsing_solvent}'")
try:
if final_rinsing_solvent.strip() != "air":
debug_print(" - 执行液体冲洗...")
rinsing_actions = _generate_rinsing_sequence(
G, from_vessel_id, to_vessel_id, final_rinsing_solvent,
final_rinsing_volume, final_rinsing_repeats,
final_flowrate, final_transfer_flowrate
)
pump_action_sequence.extend(rinsing_actions)
debug_print(f" - 添加了 {len(rinsing_actions)} 个冲洗动作")
else:
debug_print(" - 执行空气冲洗...")
air_rinsing_actions = _generate_air_rinsing_sequence(
G, from_vessel_id, to_vessel_id, final_rinsing_volume, final_rinsing_repeats,
final_flowrate, final_transfer_flowrate
)
pump_action_sequence.extend(air_rinsing_actions)
debug_print(f" - 添加了 {len(air_rinsing_actions)} 个空气冲洗动作")
except Exception as e:
debug_print(f"冲洗操作失败: {str(e)}")
debug_print(f"⚠️ 冲洗操作失败: {str(e)},跳过冲洗")
else:
debug_print(f"跳过冲洗 (solvent='{final_rinsing_solvent}', repeats={final_rinsing_repeats})")
debug_print(f"⏭️ 跳过冲洗操作")
debug_print(f" - 溶剂: '{final_rinsing_solvent}'")
debug_print(f" - 次数: {final_rinsing_repeats}")
debug_print(f" - 条件满足: {bool(final_rinsing_solvent and final_rinsing_solvent.strip() and final_rinsing_repeats > 0)}")
# 最终结果
debug_print(f"PUMP_TRANSFER 完成: {from_vessel_id} -> {to_vessel_id}, "
f"volume={final_volume}mL, 动作数={len(pump_action_sequence)}")
# ========== 最终结果 ==========
debug_print("=" * 60)
debug_print(f"🎉 PUMP_TRANSFER: 协议生成完成")
debug_print(f" 📊 总动作数: {len(pump_action_sequence)}")
debug_print(f" 📋 最终体积: {final_volume}mL")
debug_print(f" 🚀 执行路径: {from_vessel_id} -> {to_vessel_id}")
# 最终验证
if len(pump_action_sequence) == 0:
debug_print("🚨 协议生成结果为空!这是异常情况")
return [
{
"device_id": "system",
"action_name": "log_message",
"action_kwargs": {
"message": "协议生成失败: 无法生成任何动作序列"
"message": f"🚨 协议生成失败: 无法生成任何动作序列"
}
}
]
debug_print("=" * 60)
return pump_action_sequence
def _parse_amount_to_volume(amount: str) -> float:
"""解析 amount 字符串为体积"""
debug_print(f"🔍 解析 amount: '{amount}'")
if not amount:
debug_print(" - amount 为空,返回 0.0")
return 0.0
amount = amount.lower().strip()
debug_print(f" - 处理后的 amount: '{amount}'")
# 处理特殊关键词
if amount == "all":
debug_print(" - 检测到 'all',返回 0.0(需要后续处理)")
return 0.0 # 返回0.0,让调用者处理
# 提取数字
import re
numbers = re.findall(r'[\d.]+', amount)
debug_print(f" - 提取到的数字: {numbers}")
if numbers:
volume = float(numbers[0])
debug_print(f" - 基础体积: {volume}")
# 单位转换
if 'ml' in amount or 'milliliter' in amount:
debug_print(f" - 单位: mL最终体积: {volume}")
return volume
elif 'l' in amount and 'ml' not in amount:
return volume * 1000
final_volume = volume * 1000
debug_print(f" - 单位: L最终体积: {final_volume}mL")
return final_volume
elif 'μl' in amount or 'microliter' in amount:
return volume / 1000
final_volume = volume / 1000
debug_print(f" - 单位: μL最终体积: {final_volume}mL")
return final_volume
else:
return volume # 默认mL
debug_print(f" - 无单位,假设为 mL: {volume}")
return volume
debug_print(" - 无法解析,返回 0.0")
return 0.0

View File

@@ -4,64 +4,76 @@ import logging
from typing import List, Dict, Any, Tuple, Union
from .utils.vessel_parser import get_vessel, find_solvent_vessel
from .utils.unit_parser import parse_volume_input
from .utils.logger_util import debug_print
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[RECRYSTALLIZE] {message}")
def parse_ratio(ratio_str: str) -> Tuple[float, float]:
"""
解析比例字符串,支持多种格式
Args:
ratio_str: 比例字符串(如 "1:1", "3:7", "50:50"
Returns:
Tuple[float, float]: 比例元组 (ratio1, ratio2)
"""
debug_print(f"⚖️ 开始解析比例: '{ratio_str}' 📊")
try:
# 处理 "1:1", "3:7", "50:50" 等格式
if ":" in ratio_str:
parts = ratio_str.split(":")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
debug_print(f"✅ 冒号格式解析成功: {ratio1}:{ratio2} 🎯")
return ratio1, ratio2
# 处理 "1-1", "3-7" 等格式
if "-" in ratio_str:
parts = ratio_str.split("-")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
debug_print(f"✅ 横线格式解析成功: {ratio1}:{ratio2} 🎯")
return ratio1, ratio2
# 处理 "1,1", "3,7" 等格式
if "," in ratio_str:
parts = ratio_str.split(",")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
debug_print(f"✅ 逗号格式解析成功: {ratio1}:{ratio2} 🎯")
return ratio1, ratio2
debug_print(f"无法解析比例 '{ratio_str}',使用默认比例 1:1")
# 默认 1:1
debug_print(f"⚠️ 无法解析比例 '{ratio_str}',使用默认比例 1:1 🎭")
return 1.0, 1.0
except ValueError:
debug_print(f"比例解析错误 '{ratio_str}',使用默认比例 1:1")
debug_print(f"比例解析错误 '{ratio_str}',使用默认比例 1:1 🎭")
return 1.0, 1.0
def generate_recrystallize_protocol(
G: nx.DiGraph,
vessel: dict,
vessel: dict, # 🔧 修改:从字符串改为字典类型
ratio: str,
solvent1: str,
solvent2: str,
volume: Union[str, float],
volume: Union[str, float], # 支持字符串和数值
**kwargs
) -> List[Dict[str, Any]]:
"""
生成重结晶协议序列 - 支持vessel字典和体积运算
Args:
G: 有向图,节点为容器和设备
vessel: 目标容器字典从XDL传入
@@ -70,18 +82,28 @@ def generate_recrystallize_protocol(
solvent2: 第二种溶剂名称
volume: 总体积(支持 "100 mL", "50", "2.5 L" 等)
**kwargs: 其他可选参数
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
debug_print(f"开始生成重结晶协议: vessel={vessel_id}, ratio={ratio}, solvent1={solvent1}, solvent2={solvent2}, volume={volume}")
# 记录重结晶前的容器状态
debug_print("💎" * 20)
debug_print("🚀 开始生成重结晶协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" ⚖️ 比例: {ratio}")
debug_print(f" 🧪 溶剂1: {solvent1}")
debug_print(f" 🧪 溶剂2: {solvent2}")
debug_print(f" 💧 总体积: {volume} (类型: {type(volume)})")
debug_print("💎" * 20)
# 🔧 新增:记录重结晶前的容器状态
debug_print("🔍 记录重结晶前容器状态...")
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -89,73 +111,102 @@ def generate_recrystallize_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
debug_print(f"📊 重结晶前液体体积: {original_liquid_volume:.2f}mL")
# 1. 验证目标容器存在
if vessel_id not in G.nodes():
debug_print("📍 步骤1: 验证目标容器... 🔧")
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print(f"❌ 目标容器 '{vessel_id}' 不存在于系统中! 😱")
raise ValueError(f"目标容器 '{vessel_id}' 不存在于系统中")
debug_print(f"✅ 目标容器 '{vessel_id}' 验证通过 🎯")
# 2. 解析体积(支持单位)
debug_print("📍 步骤2: 解析体积(支持单位)... 💧")
final_volume = parse_volume_input(volume, "mL")
debug_print(f"体积解析: {volume} -> {final_volume}mL")
debug_print(f"🎯 体积解析完成: {volume} {final_volume}mL")
# 3. 解析比例
debug_print("📍 步骤3: 解析比例... ⚖️")
ratio1, ratio2 = parse_ratio(ratio)
total_ratio = ratio1 + ratio2
debug_print(f"🎯 比例解析完成: {ratio1}:{ratio2} (总比例: {total_ratio}) ✨")
# 4. 计算各溶剂体积
debug_print("📍 步骤4: 计算各溶剂体积... 🧮")
volume1 = final_volume * (ratio1 / total_ratio)
volume2 = final_volume * (ratio2 / total_ratio)
debug_print(f"溶剂体积: {solvent1}={volume1:.2f}mL, {solvent2}={volume2:.2f}mL")
debug_print(f"🧪 {solvent1} 体积: {volume1:.2f} mL ({ratio1}/{total_ratio} × {final_volume})")
debug_print(f"🧪 {solvent2} 体积: {volume2:.2f} mL ({ratio2}/{total_ratio} × {final_volume})")
debug_print(f"✅ 体积计算完成: 总计 {volume1 + volume2:.2f} mL 🎯")
# 5. 查找溶剂容器
debug_print("📍 步骤5: 查找溶剂容器... 🔍")
try:
debug_print(f" 🔍 查找溶剂1容器...")
solvent1_vessel = find_solvent_vessel(G, solvent1)
debug_print(f" 🎉 找到溶剂1容器: {solvent1_vessel}")
except ValueError as e:
debug_print(f" ❌ 溶剂1容器查找失败: {str(e)} 😭")
raise ValueError(f"无法找到溶剂1 '{solvent1}': {str(e)}")
try:
debug_print(f" 🔍 查找溶剂2容器...")
solvent2_vessel = find_solvent_vessel(G, solvent2)
debug_print(f" 🎉 找到溶剂2容器: {solvent2_vessel}")
except ValueError as e:
debug_print(f" ❌ 溶剂2容器查找失败: {str(e)} 😭")
raise ValueError(f"无法找到溶剂2 '{solvent2}': {str(e)}")
# 6. 验证路径存在
debug_print("📍 步骤6: 验证传输路径... 🛤️")
try:
path1 = nx.shortest_path(G, source=solvent1_vessel, target=vessel_id)
path1 = nx.shortest_path(G, source=solvent1_vessel, target=vessel_id) # 🔧 使用 vessel_id
debug_print(f" 🛤️ 溶剂1路径: {''.join(path1)}")
except nx.NetworkXNoPath:
debug_print(f" ❌ 溶剂1路径不可达: {solvent1_vessel}{vessel_id} 😞")
raise ValueError(f"从溶剂1容器 '{solvent1_vessel}' 到目标容器 '{vessel_id}' 没有可用路径")
try:
path2 = nx.shortest_path(G, source=solvent2_vessel, target=vessel_id)
path2 = nx.shortest_path(G, source=solvent2_vessel, target=vessel_id) # 🔧 使用 vessel_id
debug_print(f" 🛤️ 溶剂2路径: {''.join(path2)}")
except nx.NetworkXNoPath:
debug_print(f" ❌ 溶剂2路径不可达: {solvent2_vessel}{vessel_id} 😞")
raise ValueError(f"从溶剂2容器 '{solvent2_vessel}' 到目标容器 '{vessel_id}' 没有可用路径")
# 7. 添加第一种溶剂
debug_print("📍 步骤7: 添加第一种溶剂... 🧪")
debug_print(f" 🚰 开始添加溶剂1: {solvent1} ({volume1:.2f} mL)")
try:
pump_actions1 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent1_vessel,
to_vessel=vessel_id,
volume=volume1,
to_vessel=vessel_id, # 🔧 使用 vessel_id
volume=volume1, # 使用解析后的体积
amount="",
time=0.0,
viscous=False,
rinsing_solvent="",
rinsing_solvent="", # 重结晶不需要清洗
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.0,
flowrate=2.0, # 正常流速
transfer_flowrate=0.5
)
action_sequence.extend(pump_actions1)
debug_print(f" ✅ 溶剂1泵送动作已添加: {len(pump_actions1)} 个动作 🚰✨")
except Exception as e:
debug_print(f" ❌ 溶剂1泵协议生成失败: {str(e)} 😭")
raise ValueError(f"生成溶剂1泵协议时出错: {str(e)}")
# 更新容器体积 - 添加溶剂1后
# 🔧 新增:更新容器体积 - 添加溶剂1后
debug_print(" 🔧 更新容器体积 - 添加溶剂1后...")
new_volume_after_solvent1 = original_liquid_volume + volume1
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -165,14 +216,15 @@ def generate_recrystallize_protocol(
vessel["data"]["liquid_volume"] = [new_volume_after_solvent1]
else:
vessel["data"]["liquid_volume"] = new_volume_after_solvent1
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume_after_solvent1
@@ -180,42 +232,53 @@ def generate_recrystallize_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume_after_solvent1]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume_after_solvent1
debug_print(f" 📊 体积更新: {original_liquid_volume:.2f}mL + {volume1:.2f}mL = {new_volume_after_solvent1:.2f}mL")
# 8. 等待溶剂1稳定
debug_print(" ⏳ 添加溶剂1稳定等待...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 5.0,
"time": 5.0, # 缩短等待时间
"description": f"等待溶剂1 {solvent1} 稳定"
}
})
debug_print(" ✅ 溶剂1稳定等待已添加 ⏰✨")
# 9. 添加第二种溶剂
debug_print("📍 步骤8: 添加第二种溶剂... 🧪")
debug_print(f" 🚰 开始添加溶剂2: {solvent2} ({volume2:.2f} mL)")
try:
pump_actions2 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent2_vessel,
to_vessel=vessel_id,
volume=volume2,
to_vessel=vessel_id, # 🔧 使用 vessel_id
volume=volume2, # 使用解析后的体积
amount="",
time=0.0,
viscous=False,
rinsing_solvent="",
rinsing_solvent="", # 重结晶不需要清洗
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.0,
flowrate=2.0, # 正常流速
transfer_flowrate=0.5
)
action_sequence.extend(pump_actions2)
debug_print(f" ✅ 溶剂2泵送动作已添加: {len(pump_actions2)} 个动作 🚰✨")
except Exception as e:
debug_print(f" ❌ 溶剂2泵协议生成失败: {str(e)} 😭")
raise ValueError(f"生成溶剂2泵协议时出错: {str(e)}")
# 更新容器体积 - 添加溶剂2后
# 🔧 新增:更新容器体积 - 添加溶剂2后
debug_print(" 🔧 更新容器体积 - 添加溶剂2后...")
final_liquid_volume = new_volume_after_solvent1 + volume2
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -225,14 +288,15 @@ def generate_recrystallize_protocol(
vessel["data"]["liquid_volume"] = [final_liquid_volume]
else:
vessel["data"]["liquid_volume"] = final_liquid_volume
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = final_liquid_volume
@@ -240,25 +304,36 @@ def generate_recrystallize_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [final_liquid_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = final_liquid_volume
debug_print(f" 📊 最终体积: {new_volume_after_solvent1:.2f}mL + {volume2:.2f}mL = {final_liquid_volume:.2f}mL")
# 10. 等待溶剂2稳定
debug_print(" ⏳ 添加溶剂2稳定等待...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 5.0,
"time": 5.0, # 缩短等待时间
"description": f"等待溶剂2 {solvent2} 稳定"
}
})
debug_print(" ✅ 溶剂2稳定等待已添加 ⏰✨")
# 11. 等待重结晶完成
original_crystallize_time = 600.0
simulation_time_limit = 60.0
debug_print("📍 步骤9: 等待重结晶完成... 💎")
# 模拟运行时间优化
debug_print(" ⏱️ 检查模拟运行时间限制...")
original_crystallize_time = 600.0 # 原始重结晶时间
simulation_time_limit = 60.0 # 模拟运行时间限制60秒
final_crystallize_time = min(original_crystallize_time, simulation_time_limit)
if original_crystallize_time > simulation_time_limit:
debug_print(f"模拟运行优化: {original_crystallize_time}s -> {final_crystallize_time}s")
debug_print(f" 🎮 模拟运行优化: {original_crystallize_time}s {final_crystallize_time}s")
debug_print(f" 📊 时间缩短: {original_crystallize_time/60:.1f}分钟 → {final_crystallize_time/60:.1f}分钟 🚀")
else:
debug_print(f" ✅ 时间在限制内: {final_crystallize_time}s 保持不变 🎯")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -266,28 +341,50 @@ def generate_recrystallize_protocol(
"description": f"等待重结晶完成({solvent1}:{solvent2} = {ratio},总体积 {final_volume}mL" + (f" (模拟时间)" if original_crystallize_time != final_crystallize_time else "")
}
})
debug_print(f"重结晶协议生成完成: {len(action_sequence)} 个动作, 容器={vessel_id}, 体积变化: {original_liquid_volume:.2f} -> {final_liquid_volume:.2f}mL")
debug_print(f" ✅ 重结晶等待已添加: {final_crystallize_time}s 💎✨")
# 显示时间调整信息
if original_crystallize_time != final_crystallize_time:
debug_print(f" 🎭 模拟优化说明: 原计划 {original_crystallize_time/60:.1f}分钟,实际模拟 {final_crystallize_time/60:.1f}分钟 ⚡")
# 总结
debug_print("💎" * 20)
debug_print(f"🎉 重结晶协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"🥽 目标容器: {vessel_id}")
debug_print(f"💧 总体积变化:")
debug_print(f" - 原始体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 添加溶剂: {final_volume:.2f}mL")
debug_print(f" - 最终体积: {final_liquid_volume:.2f}mL")
debug_print(f"⚖️ 溶剂比例: {solvent1}:{solvent2} = {ratio1}:{ratio2}")
debug_print(f"🧪 溶剂1: {solvent1} ({volume1:.2f}mL)")
debug_print(f"🧪 溶剂2: {solvent2} ({volume2:.2f}mL)")
debug_print(f"⏱️ 预计总时间: {(final_crystallize_time + 10)/60:.1f} 分钟 ⌛")
debug_print("💎" * 20)
return action_sequence
# 测试函数
def test_recrystallize_protocol():
"""测试重结晶协议"""
debug_print("=== RECRYSTALLIZE PROTOCOL 测试 ===")
debug_print("🧪 === RECRYSTALLIZE PROTOCOL 测试 ===")
# 测试体积解析
debug_print("💧 测试体积解析...")
test_volumes = ["100 mL", "2.5 L", "500", "50.5", "?", "invalid"]
for vol in test_volumes:
parsed = parse_volume_input(vol)
debug_print(f"体积 '{vol}' -> {parsed}mL")
debug_print(f" 📊 体积 '{vol}' -> {parsed}mL")
# 测试比例解析
debug_print("⚖️ 测试比例解析...")
test_ratios = ["1:1", "3:7", "50:50", "1-1", "2,8", "invalid"]
for ratio in test_ratios:
r1, r2 = parse_ratio(ratio)
debug_print(f"比例 '{ratio}' -> {r1}:{r2}")
debug_print("测试完成")
debug_print(f" 📊 比例 '{ratio}' -> {r1}:{r2}")
debug_print("测试完成 🎉")
if __name__ == "__main__":
test_recrystallize_protocol()
test_recrystallize_protocol()

View File

@@ -1,87 +1,253 @@
import networkx as nx
import logging
import sys
from typing import List, Dict, Any, Optional
from .utils.logger_util import debug_print, action_log
from .utils.vessel_parser import find_solvent_vessel
from .pump_protocol import generate_pump_protocol_with_rinsing
# 设置日志
logger = logging.getLogger(__name__)
create_action_log = action_log
# 确保输出编码为UTF-8
if hasattr(sys.stdout, 'reconfigure'):
try:
sys.stdout.reconfigure(encoding='utf-8')
sys.stderr.reconfigure(encoding='utf-8')
except:
pass
def debug_print(message):
"""调试输出函数 - 支持中文"""
try:
# 确保消息是字符串格式
safe_message = str(message)
print(f"[重置处理] {safe_message}", flush=True)
logger.info(f"[重置处理] {safe_message}")
except UnicodeEncodeError:
# 如果编码失败,尝试替换不支持的字符
safe_message = str(message).encode('utf-8', errors='replace').decode('utf-8')
print(f"[重置处理] {safe_message}", flush=True)
logger.info(f"[重置处理] {safe_message}")
except Exception as e:
# 最后的安全措施
fallback_message = f"日志输出错误: {repr(message)}"
print(f"[重置处理] {fallback_message}", flush=True)
logger.info(f"[重置处理] {fallback_message}")
def create_action_log(message: str, emoji: str = "📝") -> Dict[str, Any]:
"""创建一个动作日志 - 支持中文和emoji"""
try:
full_message = f"{emoji} {message}"
debug_print(full_message)
logger.info(full_message)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
}
}
except Exception as e:
# 如果emoji有问题使用纯文本
safe_message = f"[日志] {message}"
debug_print(safe_message)
logger.info(safe_message)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": safe_message,
"progress_message": safe_message
}
}
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""
查找溶剂容器,支持多种匹配模式
Args:
G: 网络图
solvent: 溶剂名称(如 "methanol", "ethanol", "water"
Returns:
str: 溶剂容器ID
"""
debug_print(f"🔍 正在查找溶剂 '{solvent}' 的容器...")
# 构建可能的容器名称
possible_names = [
f"flask_{solvent}", # flask_methanol
f"bottle_{solvent}", # bottle_methanol
f"reagent_{solvent}", # reagent_methanol
f"reagent_bottle_{solvent}", # reagent_bottle_methanol
f"{solvent}_flask", # methanol_flask
f"{solvent}_bottle", # methanol_bottle
f"{solvent}", # methanol
f"vessel_{solvent}", # vessel_methanol
]
debug_print(f"🎯 候选容器名称: {possible_names[:3]}... (共{len(possible_names)}个)")
# 第一步:通过容器名称匹配
debug_print("📋 方法1: 精确名称匹配...")
for vessel_name in possible_names:
if vessel_name in G.nodes():
debug_print(f"✅ 通过名称匹配找到容器: {vessel_name}")
return vessel_name
debug_print("⚠️ 精确名称匹配失败,尝试模糊匹配...")
# 第二步:通过模糊匹配
debug_print("📋 方法2: 模糊名称匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_name = G.nodes[node_id].get('name', '').lower()
# 检查是否包含溶剂名称
if solvent.lower() in node_id.lower() or solvent.lower() in node_name:
debug_print(f"✅ 通过模糊匹配找到容器: {node_id}")
return node_id
debug_print("⚠️ 模糊匹配失败,尝试液体类型匹配...")
# 第三步:通过液体类型匹配
debug_print("📋 方法3: 液体类型匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = (liquid.get('liquid_type') or liquid.get('name', '')).lower()
reagent_name = vessel_data.get('reagent_name', '').lower()
if solvent.lower() in liquid_type or solvent.lower() in reagent_name:
debug_print(f"✅ 通过液体类型匹配找到容器: {node_id}")
return node_id
# 列出可用容器帮助调试
debug_print("📊 显示可用容器信息...")
available_containers = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
liquid_types = [liquid.get('liquid_type', '') or liquid.get('name', '')
for liquid in liquids if isinstance(liquid, dict)]
available_containers.append({
'id': node_id,
'name': G.nodes[node_id].get('name', ''),
'liquids': liquid_types,
'reagent_name': vessel_data.get('reagent_name', '')
})
debug_print(f"📋 可用容器列表 (共{len(available_containers)}个):")
for i, container in enumerate(available_containers[:5]): # 只显示前5个
debug_print(f" {i+1}. 🥽 {container['id']}: {container['name']}")
debug_print(f" 💧 液体: {container['liquids']}")
debug_print(f" 🧪 试剂: {container['reagent_name']}")
if len(available_containers) > 5:
debug_print(f" ... 还有 {len(available_containers)-5} 个容器")
debug_print(f"❌ 找不到溶剂 '{solvent}' 对应的容器")
raise ValueError(f"找不到溶剂 '{solvent}' 对应的容器。尝试了: {possible_names[:3]}...")
def generate_reset_handling_protocol(
G: nx.DiGraph,
solvent: str,
vessel: Optional[str] = None,
**kwargs
vessel: Optional[str] = None, # 🆕 新增可选vessel参数
**kwargs # 接收其他可能的参数但不使用
) -> List[Dict[str, Any]]:
"""
生成重置处理协议序列 - 支持自定义容器
Args:
G: 有向图,节点为容器和设备
solvent: 溶剂名称从XDL传入
vessel: 目标容器名称(可选,默认为 "main_reactor"
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
action_sequence = []
# 🔧 修改支持自定义vessel参数
target_vessel = vessel if vessel is not None else "main_reactor" # 默认目标容器
volume = 50.0 # 默认体积 50 mL
target_vessel = vessel if vessel is not None else "main_reactor"
volume = 50.0
debug_print(f"开始生成重置处理协议: solvent={solvent}, vessel={target_vessel}, volume={volume}mL")
debug_print("=" * 60)
debug_print("🚀 开始生成重置处理协议")
debug_print(f"📋 输入参数:")
debug_print(f" 🧪 溶剂: {solvent}")
debug_print(f" 🥽 目标容器: {target_vessel} {'(默认)' if vessel is None else '(指定)'}")
debug_print(f" 💧 体积: {volume} mL")
debug_print(f" ⚙️ 其他参数: {kwargs}")
debug_print("=" * 60)
# 添加初始日志
action_sequence.append(action_log(f"开始重置处理操作 - 容器: {target_vessel}", "🎬"))
action_sequence.append(action_log(f"使用溶剂: {solvent}", "🧪"))
action_sequence.append(action_log(f"重置体积: {volume}mL", "💧"))
action_sequence.append(create_action_log(f"开始重置处理操作 - 容器: {target_vessel}", "🎬"))
action_sequence.append(create_action_log(f"使用溶剂: {solvent}", "🧪"))
action_sequence.append(create_action_log(f"重置体积: {volume}mL", "💧"))
if vessel is None:
action_sequence.append(action_log("使用默认目标容器: main_reactor", "⚙️"))
action_sequence.append(create_action_log("使用默认目标容器: main_reactor", "⚙️"))
else:
action_sequence.append(action_log(f"使用指定目标容器: {vessel}", "🎯"))
action_sequence.append(create_action_log(f"使用指定目标容器: {vessel}", "🎯"))
# 1. 验证目标容器存在
action_sequence.append(action_log("正在验证目标容器...", "🔍"))
debug_print("🔍 步骤1: 验证目标容器...")
action_sequence.append(create_action_log("正在验证目标容器...", "🔍"))
if target_vessel not in G.nodes():
action_sequence.append(action_log(f"目标容器 '{target_vessel}' 不存在", ""))
debug_print(f"目标容器 '{target_vessel}' 不存在于系统中!")
action_sequence.append(create_action_log(f"目标容器 '{target_vessel}' 不存在", ""))
raise ValueError(f"目标容器 '{target_vessel}' 不存在于系统中")
action_sequence.append(action_log(f"目标容器验证通过: {target_vessel}", ""))
debug_print(f"目标容器 '{target_vessel}' 验证通过")
action_sequence.append(create_action_log(f"目标容器验证通过: {target_vessel}", ""))
# 2. 查找溶剂容器
action_sequence.append(action_log("正在查找溶剂容器...", "🔍"))
debug_print("🔍 步骤2: 查找溶剂容器...")
action_sequence.append(create_action_log("正在查找溶剂容器...", "🔍"))
try:
solvent_vessel = find_solvent_vessel(G, solvent)
debug_print(f"找到溶剂容器: {solvent_vessel}")
action_sequence.append(action_log(f"找到溶剂容器: {solvent_vessel}", ""))
debug_print(f"找到溶剂容器: {solvent_vessel}")
action_sequence.append(create_action_log(f"找到溶剂容器: {solvent_vessel}", ""))
except ValueError as e:
action_sequence.append(action_log(f"溶剂容器查找失败: {str(e)}", ""))
debug_print(f"溶剂容器查找失败: {str(e)}")
action_sequence.append(create_action_log(f"溶剂容器查找失败: {str(e)}", ""))
raise ValueError(f"无法找到溶剂 '{solvent}': {str(e)}")
# 3. 验证路径存在
action_sequence.append(action_log("正在验证传输路径...", "🛤️"))
debug_print("🔍 步骤3: 验证传输路径...")
action_sequence.append(create_action_log("正在验证传输路径...", "🛤️"))
try:
path = nx.shortest_path(G, source=solvent_vessel, target=target_vessel)
action_sequence.append(action_log(f"传输路径: {''.join(path)}", "🛤️"))
debug_print(f"✅ 找到路径: {''.join(path)}")
action_sequence.append(create_action_log(f"传输路径: {''.join(path)}", "🛤️"))
except nx.NetworkXNoPath:
action_sequence.append(action_log(f"路径不可达: {solvent_vessel}{target_vessel}", ""))
debug_print(f"路径不可达: {solvent_vessel}{target_vessel}")
action_sequence.append(create_action_log(f"路径不可达: {solvent_vessel}{target_vessel}", ""))
raise ValueError(f"从溶剂容器 '{solvent_vessel}' 到目标容器 '{target_vessel}' 没有可用路径")
# 4. 使用pump_protocol转移溶剂
action_sequence.append(action_log("开始溶剂转移操作...", "🚰"))
action_sequence.append(action_log(f"转移: {solvent_vessel}{target_vessel} ({volume}mL)", "🚛"))
debug_print("🔍 步骤4: 转移溶剂...")
action_sequence.append(create_action_log("开始溶剂转移操作...", "🚰"))
debug_print(f"🚛 开始转移: {solvent_vessel}{target_vessel}")
debug_print(f"💧 转移体积: {volume} mL")
action_sequence.append(create_action_log(f"转移: {solvent_vessel}{target_vessel} ({volume}mL)", "🚛"))
try:
action_sequence.append(action_log("正在生成泵送协议...", "🔄"))
debug_print("🔄 生成泵送协议...")
action_sequence.append(create_action_log("正在生成泵送协议...", "🔄"))
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_vessel,
@@ -90,34 +256,41 @@ def generate_reset_handling_protocol(
amount="",
time=0.0,
viscous=False,
rinsing_solvent="",
rinsing_solvent="", # 重置处理不需要清洗
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.5,
transfer_flowrate=0.5
flowrate=2.5, # 正常流速
transfer_flowrate=0.5 # 正常转移流速
)
action_sequence.extend(pump_actions)
debug_print(f"泵送协议已添加: {len(pump_actions)} 个动作")
action_sequence.append(action_log(f"泵送协议完成 ({len(pump_actions)} 个操作)", ""))
debug_print(f"泵送协议已添加: {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"泵送协议完成 ({len(pump_actions)} 个操作)", ""))
except Exception as e:
action_sequence.append(action_log(f"泵送协议生成失败: {str(e)}", ""))
debug_print(f"泵送协议生成失败: {str(e)}")
action_sequence.append(create_action_log(f"泵送协议生成失败: {str(e)}", ""))
raise ValueError(f"生成泵协议时出错: {str(e)}")
# 5. 等待溶剂稳定
action_sequence.append(action_log("等待溶剂稳定...", ""))
original_wait_time = 10.0
simulation_time_limit = 5.0
debug_print("🔍 步骤5: 等待溶剂稳定...")
action_sequence.append(create_action_log("等待溶剂稳定...", ""))
# 模拟运行时间优化
debug_print("⏱️ 检查模拟运行时间限制...")
original_wait_time = 10.0 # 原始等待时间
simulation_time_limit = 5.0 # 模拟运行时间限制5秒
final_wait_time = min(original_wait_time, simulation_time_limit)
if original_wait_time > simulation_time_limit:
action_sequence.append(action_log(f"时间优化: {original_wait_time}s → {final_wait_time}s", ""))
debug_print(f"🎮 模拟运行优化: {original_wait_time}s → {final_wait_time}s")
action_sequence.append(create_action_log(f"时间优化: {original_wait_time}s → {final_wait_time}s", ""))
else:
action_sequence.append(action_log(f"等待时间: {final_wait_time}s", ""))
debug_print(f"✅ 时间在限制内: {final_wait_time}s 保持不变")
action_sequence.append(create_action_log(f"等待时间: {final_wait_time}s", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -125,50 +298,90 @@ def generate_reset_handling_protocol(
"description": f"等待溶剂 {solvent} 在容器 {target_vessel} 中稳定" + (f" (模拟时间)" if original_wait_time != final_wait_time else "")
}
})
debug_print(f"✅ 稳定等待已添加: {final_wait_time}s")
# 显示时间调整信息
if original_wait_time != final_wait_time:
action_sequence.append(action_log("应用模拟时间优化", "🎭"))
debug_print(f"🎭 模拟优化说明: 原计划 {original_wait_time}s实际模拟 {final_wait_time}s")
action_sequence.append(create_action_log("应用模拟时间优化", "🎭"))
# 总结
debug_print(f"重置处理协议生成完成: {len(action_sequence)} 个动作, {solvent_vessel} -> {target_vessel}, {volume}mL")
debug_print("=" * 60)
debug_print(f"🎉 重置处理协议生成完成!")
debug_print(f"📊 总结信息:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" 🧪 溶剂: {solvent}")
debug_print(f" 🥽 源容器: {solvent_vessel}")
debug_print(f" 🥽 目标容器: {target_vessel} {'(默认)' if vessel is None else '(指定)'}")
debug_print(f" 💧 转移体积: {volume} mL")
debug_print(f" ⏱️ 预计总时间: {(final_wait_time + 5):.0f}")
debug_print(f" 🎯 操作结果: 已添加 {volume} mL {solvent}{target_vessel}")
debug_print("=" * 60)
# 添加完成日志
summary_msg = f"重置处理完成: {target_vessel} (使用 {volume}mL {solvent})"
if vessel is None:
summary_msg += " [默认容器]"
else:
summary_msg += " [指定容器]"
action_sequence.append(action_log(summary_msg, "🎉"))
action_sequence.append(create_action_log(summary_msg, "🎉"))
return action_sequence
# === 便捷函数 ===
def reset_main_reactor(G: nx.DiGraph, solvent: str = "methanol", **kwargs) -> List[Dict[str, Any]]:
"""重置主反应器 (默认行为)"""
debug_print(f"🔄 重置主反应器,使用溶剂: {solvent}")
return generate_reset_handling_protocol(G, solvent=solvent, vessel=None, **kwargs)
def reset_custom_vessel(G: nx.DiGraph, vessel: str, solvent: str = "methanol", **kwargs) -> List[Dict[str, Any]]:
"""重置指定容器"""
debug_print(f"🔄 重置指定容器: {vessel},使用溶剂: {solvent}")
return generate_reset_handling_protocol(G, solvent=solvent, vessel=vessel, **kwargs)
def reset_with_water(G: nx.DiGraph, vessel: Optional[str] = None, **kwargs) -> List[Dict[str, Any]]:
"""使用水重置容器"""
target = vessel or "main_reactor"
debug_print(f"💧 使用水重置容器: {target}")
return generate_reset_handling_protocol(G, solvent="water", vessel=vessel, **kwargs)
def reset_with_methanol(G: nx.DiGraph, vessel: Optional[str] = None, **kwargs) -> List[Dict[str, Any]]:
"""使用甲醇重置容器"""
target = vessel or "main_reactor"
debug_print(f"🧪 使用甲醇重置容器: {target}")
return generate_reset_handling_protocol(G, solvent="methanol", vessel=vessel, **kwargs)
def reset_with_ethanol(G: nx.DiGraph, vessel: Optional[str] = None, **kwargs) -> List[Dict[str, Any]]:
"""使用乙醇重置容器"""
target = vessel or "main_reactor"
debug_print(f"🧪 使用乙醇重置容器: {target}")
return generate_reset_handling_protocol(G, solvent="ethanol", vessel=vessel, **kwargs)
# 测试函数
def test_reset_handling_protocol():
"""测试重置处理协议"""
debug_print("=== 重置处理协议测试 ===")
debug_print("测试完成")
debug_print("=== 重置处理协议增强中文版测试 ===")
# 测试溶剂名称
debug_print("🧪 测试常用溶剂名称...")
test_solvents = ["methanol", "ethanol", "water", "acetone", "dmso"]
for solvent in test_solvents:
debug_print(f" 🔍 测试溶剂: {solvent}")
# 测试容器参数
debug_print("🥽 测试容器参数...")
test_cases = [
{"solvent": "methanol", "vessel": None, "desc": "默认容器"},
{"solvent": "ethanol", "vessel": "reactor_2", "desc": "指定容器"},
{"solvent": "water", "vessel": "flask_1", "desc": "自定义容器"}
]
for case in test_cases:
debug_print(f" 🧪 测试案例: {case['desc']} - {case['solvent']} -> {case['vessel'] or 'main_reactor'}")
debug_print("✅ 测试完成")
if __name__ == "__main__":
test_reset_handling_protocol()
test_reset_handling_protocol()

View File

@@ -2,54 +2,60 @@ from typing import List, Dict, Any, Union
import networkx as nx
import logging
import re
from .utils.vessel_parser import get_vessel, find_solvent_vessel
from .utils.resource_helper import get_resource_id, get_resource_data, get_resource_liquid_volume, update_vessel_volume
from .utils.logger_util import debug_print
from .utils.vessel_parser import get_vessel
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[RUN_COLUMN] {message}")
def parse_percentage(pct_str: str) -> float:
"""
解析百分比字符串为数值
Args:
pct_str: 百分比字符串(如 "40 %", "40%", "40"
Returns:
float: 百分比数值0-100
"""
if not pct_str or not pct_str.strip():
return 0.0
pct_str = pct_str.strip().lower()
debug_print(f"🔍 解析百分比: '{pct_str}'")
# 移除百分号和空格
pct_clean = re.sub(r'[%\s]', '', pct_str)
# 提取数字
match = re.search(r'([0-9]*\.?[0-9]+)', pct_clean)
if match:
value = float(match.group(1))
debug_print(f"✅ 百分比解析结果: {value}%")
return value
debug_print(f"无法解析百分比: '{pct_str}'返回0.0")
debug_print(f"⚠️ 无法解析百分比: '{pct_str}'返回0.0")
return 0.0
def parse_ratio(ratio_str: str) -> tuple:
"""
解析比例字符串为两个数值
Args:
ratio_str: 比例字符串(如 "5:95", "1:1", "40:60"
Returns:
tuple: (ratio1, ratio2) 两个比例值(百分比)
tuple: (ratio1, ratio2) 两个比例值
"""
if not ratio_str or not ratio_str.strip():
return (50.0, 50.0)
return (50.0, 50.0) # 默认1:1
ratio_str = ratio_str.strip()
debug_print(f"🔍 解析比例: '{ratio_str}'")
# 支持多种分隔符:: / -
if ':' in ratio_str:
parts = ratio_str.split(':')
@@ -60,82 +66,101 @@ def parse_ratio(ratio_str: str) -> tuple:
elif 'to' in ratio_str.lower():
parts = ratio_str.lower().split('to')
else:
debug_print(f"无法解析比例格式: '{ratio_str}'使用默认1:1")
debug_print(f"⚠️ 无法解析比例格式: '{ratio_str}'使用默认1:1")
return (50.0, 50.0)
if len(parts) >= 2:
try:
ratio1 = float(parts[0].strip())
ratio2 = float(parts[1].strip())
total = ratio1 + ratio2
# 转换为百分比
pct1 = (ratio1 / total) * 100
pct2 = (ratio2 / total) * 100
debug_print(f"✅ 比例解析结果: {ratio1}:{ratio2} -> {pct1:.1f}%:{pct2:.1f}%")
return (pct1, pct2)
except ValueError as e:
debug_print(f"比例数值转换失败: {str(e)}")
debug_print(f"比例解析失败使用默认1:1")
debug_print(f"⚠️ 比例数值转换失败: {str(e)}")
debug_print(f"⚠️ 比例解析失败使用默认1:1")
return (50.0, 50.0)
def parse_rf_value(rf_str: str) -> float:
"""
解析Rf值字符串
Args:
rf_str: Rf值字符串"0.3", "0.45", "?"
Returns:
float: Rf值0-1
"""
if not rf_str or not rf_str.strip():
return 0.3
return 0.3 # 默认Rf值
rf_str = rf_str.strip().lower()
debug_print(f"🔍 解析Rf值: '{rf_str}'")
# 处理未知Rf值
if rf_str in ['?', 'unknown', 'tbd', 'to be determined']:
return 0.3
default_rf = 0.3
debug_print(f"❓ 检测到未知Rf值使用默认值: {default_rf}")
return default_rf
# 提取数字
match = re.search(r'([0-9]*\.?[0-9]+)', rf_str)
if match:
value = float(match.group(1))
# 确保Rf值在0-1范围内
if value > 1.0:
value = value / 100.0
value = max(0.0, min(1.0, value))
value = value / 100.0 # 可能是百分比形式
value = max(0.0, min(1.0, value)) # 限制在0-1范围
debug_print(f"✅ Rf值解析结果: {value}")
return value
debug_print(f"⚠️ 无法解析Rf值: '{rf_str}'使用默认值0.3")
return 0.3
def find_column_device(G: nx.DiGraph) -> str:
"""查找柱层析设备"""
debug_print("🔍 查找柱层析设备...")
# 查找虚拟柱设备
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'virtual_column' in node_class.lower() or 'column' in node_class.lower():
debug_print(f"找到柱层析设备: {node}")
debug_print(f"🎉 找到柱层析设备: {node}")
return node
# 如果没有找到,尝试创建虚拟设备名称
possible_names = ['column_1', 'virtual_column_1', 'chromatography_column_1']
for name in possible_names:
if name in G.nodes():
debug_print(f"找到柱设备: {name}")
debug_print(f"🎉 找到柱设备: {name}")
return name
debug_print("未找到柱层析设备将使用pump protocol直接转移")
debug_print("⚠️ 未找到柱层析设备将使用pump protocol直接转移")
return ""
def find_column_vessel(G: nx.DiGraph, column: str) -> str:
"""查找柱容器"""
debug_print(f"🔍 查找柱容器: '{column}'")
# 直接检查column参数是否是容器
if column in G.nodes():
node_type = G.nodes[column].get('type', '')
if node_type == 'container':
debug_print(f"🎉 找到柱容器: {column}")
return column
# 尝试常见的命名规则
possible_names = [
f"column_{column}",
f"{column}_column",
f"{column}_column",
f"vessel_{column}",
f"{column}_vessel",
"column_vessel",
@@ -144,25 +169,211 @@ def find_column_vessel(G: nx.DiGraph, column: str) -> str:
"preparative_column",
"column"
]
for vessel_name in possible_names:
if vessel_name in G.nodes():
node_type = G.nodes[vessel_name].get('type', '')
if node_type == 'container':
debug_print(f"🎉 找到柱容器: {vessel_name}")
return vessel_name
debug_print(f"⚠️ 未找到柱容器,将直接在源容器中进行分离")
return ""
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂容器 - 增强版"""
if not solvent or not solvent.strip():
return ""
solvent = solvent.strip().replace(' ', '_').lower()
debug_print(f"🔍 查找溶剂容器: '{solvent}'")
# 🔧 方法1直接搜索 data.reagent_name
for node in G.nodes():
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
reagent_config = G.nodes[node].get('config', {}).get('reagent', '').lower()
# 检查 data.reagent_name 和 config.reagent
if reagent_name == solvent or reagent_config == solvent:
debug_print(f"🎉 通过reagent_name找到溶剂容器: {node} (reagent: {reagent_name or reagent_config}) ✨")
return node
# 模糊匹配 reagent_name
if solvent in reagent_name or reagent_name in solvent:
debug_print(f"🎉 通过reagent_name模糊匹配到溶剂容器: {node} (reagent: {reagent_name}) ✨")
return node
if solvent in reagent_config or reagent_config in solvent:
debug_print(f"🎉 通过config.reagent模糊匹配到溶剂容器: {node} (reagent: {reagent_config}) ✨")
return node
# 🔧 方法2常见的溶剂容器命名规则
possible_names = [
f"flask_{solvent}",
f"bottle_{solvent}",
f"reagent_{solvent}",
f"{solvent}_bottle",
f"{solvent}_flask",
f"solvent_{solvent}",
f"reagent_bottle_{solvent}"
]
for vessel_name in possible_names:
if vessel_name in G.nodes():
node_type = G.nodes[vessel_name].get('type', '')
if node_type == 'container':
debug_print(f"🎉 通过命名规则找到溶剂容器: {vessel_name}")
return vessel_name
# 🔧 方法3节点名称模糊匹配
for node in G.nodes():
node_type = G.nodes[node].get('type', '')
if node_type == 'container':
if ('flask_' in node or 'bottle_' in node or 'reagent_' in node) and solvent in node.lower():
debug_print(f"🎉 通过节点名称模糊匹配到溶剂容器: {node}")
return node
# 🔧 方法4特殊溶剂名称映射
solvent_mapping = {
'dmf': ['dmf', 'dimethylformamide', 'n,n-dimethylformamide'],
'ethyl_acetate': ['ethyl_acetate', 'ethylacetate', 'etoac', 'ea'],
'hexane': ['hexane', 'hexanes', 'n-hexane'],
'methanol': ['methanol', 'meoh', 'ch3oh'],
'water': ['water', 'h2o', 'distilled_water'],
'acetone': ['acetone', 'ch3coch3', '2-propanone'],
'dichloromethane': ['dichloromethane', 'dcm', 'ch2cl2', 'methylene_chloride'],
'chloroform': ['chloroform', 'chcl3', 'trichloromethane']
}
# 查找映射的同义词
for canonical_name, synonyms in solvent_mapping.items():
if solvent in synonyms:
debug_print(f"🔍 检测到溶剂同义词: '{solvent}' -> '{canonical_name}'")
return find_solvent_vessel(G, canonical_name) # 递归搜索
debug_print(f"⚠️ 未找到溶剂 '{solvent}' 的容器")
return ""
def get_vessel_liquid_volume(vessel: dict) -> float:
"""
获取容器中的液体体积 - 支持vessel字典
Args:
vessel: 容器字典
Returns:
float: 液体体积mL
"""
if not vessel or "data" not in vessel:
debug_print(f"⚠️ 容器数据为空,返回 0.0mL")
return 0.0
vessel_data = vessel["data"]
vessel_id = vessel.get("id", "unknown")
debug_print(f"🔍 读取容器 '{vessel_id}' 体积数据: {vessel_data}")
# 检查liquid_volume字段
if "liquid_volume" in vessel_data:
liquid_volume = vessel_data["liquid_volume"]
# 处理列表格式
if isinstance(liquid_volume, list):
if len(liquid_volume) > 0:
volume = liquid_volume[0]
if isinstance(volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (列表格式)")
return float(volume)
# 处理直接数值格式
elif isinstance(liquid_volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {liquid_volume}mL (数值格式)")
return float(liquid_volume)
# 检查其他可能的体积字段
volume_keys = ['current_volume', 'total_volume', 'volume']
for key in volume_keys:
if key in vessel_data:
try:
volume = float(vessel_data[key])
if volume > 0:
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (字段: {key})")
return volume
except (ValueError, TypeError):
continue
debug_print(f"⚠️ 无法获取容器 '{vessel_id}' 的体积,返回默认值 50.0mL")
return 50.0
def update_vessel_volume(vessel: dict, G: nx.DiGraph, new_volume: float, description: str = "") -> None:
"""
更新容器体积同时更新vessel字典和图节点
Args:
vessel: 容器字典
G: 网络图
new_volume: 新体积
description: 更新描述
"""
vessel_id = vessel.get("id", "unknown")
if description:
debug_print(f"🔧 更新容器体积 - {description}")
# 更新vessel字典中的体积
if "data" in vessel:
if "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] = new_volume
else:
vessel["data"]["liquid_volume"] = [new_volume]
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"] = {"liquid_volume": new_volume}
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
else:
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"📊 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")
def calculate_solvent_volumes(total_volume: float, pct1: float, pct2: float) -> tuple:
"""根据百分比计算溶剂体积"""
volume1 = (total_volume * pct1) / 100.0
volume2 = (total_volume * pct2) / 100.0
debug_print(f"🧮 溶剂体积计算: 总体积{total_volume}mL")
debug_print(f" - 溶剂1: {pct1}% = {volume1}mL")
debug_print(f" - 溶剂2: {pct2}% = {volume2}mL")
return (volume1, volume2)
def generate_run_column_protocol(
G: nx.DiGraph,
from_vessel: dict,
to_vessel: dict,
from_vessel: dict, # 🔧 修改:从字符串改为字典类型
to_vessel: dict, # 🔧 修改:从字符串改为字典类型
column: str,
rf: str = "",
pct1: str = "",
@@ -174,7 +385,7 @@ def generate_run_column_protocol(
) -> List[Dict[str, Any]]:
"""
生成柱层析分离的协议序列 - 支持vessel字典和体积运算
Args:
G: 有向图,节点为设备和容器,边为流体管道
from_vessel: 源容器字典从XDL传入
@@ -187,112 +398,173 @@ def generate_run_column_protocol(
solvent2: 第二种溶剂名称(可选)
ratio: 溶剂比例(如 "5:95"可选优先级高于pct1/pct2
**kwargs: 其他可选参数
Returns:
List[Dict[str, Any]]: 柱层析分离操作的动作序列
"""
# 🔧 核心修改从字典中提取容器ID
from_vessel_id, _ = get_vessel(from_vessel)
to_vessel_id, _ = get_vessel(to_vessel)
debug_print(f"开始生成柱层析协议: {from_vessel_id} -> {to_vessel_id}, column={column}")
debug_print("🏛️" * 20)
debug_print("🚀 开始生成柱层析协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 from_vessel: {from_vessel} (ID: {from_vessel_id})")
debug_print(f" 🥽 to_vessel: {to_vessel} (ID: {to_vessel_id})")
debug_print(f" 🏛️ column: '{column}'")
debug_print(f" 📊 rf: '{rf}'")
debug_print(f" 🧪 溶剂配比: pct1='{pct1}', pct2='{pct2}', ratio='{ratio}'")
debug_print(f" 🧪 溶剂名称: solvent1='{solvent1}', solvent2='{solvent2}'")
debug_print("🏛️" * 20)
action_sequence = []
# 记录柱层析前的容器状态
original_from_volume = get_resource_liquid_volume(from_vessel)
original_to_volume = get_resource_liquid_volume(to_vessel)
# 🔧 新增:记录柱层析前的容器状态
debug_print("🔍 记录柱层析前容器状态...")
original_from_volume = get_vessel_liquid_volume(from_vessel)
original_to_volume = get_vessel_liquid_volume(to_vessel)
debug_print(f"📊 柱层析前状态:")
debug_print(f" - 源容器 {from_vessel_id}: {original_from_volume:.2f}mL")
debug_print(f" - 目标容器 {to_vessel_id}: {original_to_volume:.2f}mL")
# === 参数验证 ===
if not from_vessel_id:
debug_print("📍 步骤1: 参数验证...")
if not from_vessel_id: # 🔧 使用 from_vessel_id
raise ValueError("from_vessel 参数不能为空")
if not to_vessel_id:
if not to_vessel_id: # 🔧 使用 to_vessel_id
raise ValueError("to_vessel 参数不能为空")
if not column:
raise ValueError("column 参数不能为空")
if from_vessel_id not in G.nodes():
if from_vessel_id not in G.nodes(): # 🔧 使用 from_vessel_id
raise ValueError(f"源容器 '{from_vessel_id}' 不存在于系统中")
if to_vessel_id not in G.nodes():
if to_vessel_id not in G.nodes(): # 🔧 使用 to_vessel_id
raise ValueError(f"目标容器 '{to_vessel_id}' 不存在于系统中")
debug_print("✅ 基本参数验证通过")
# === 参数解析 ===
debug_print("📍 步骤2: 参数解析...")
# 解析Rf值
final_rf = parse_rf_value(rf)
debug_print(f"🎯 最终Rf值: {final_rf}")
# 解析溶剂比例ratio优先级高于pct1/pct2
if ratio and ratio.strip():
final_pct1, final_pct2 = parse_ratio(ratio)
debug_print(f"📊 使用ratio参数: {final_pct1:.1f}% : {final_pct2:.1f}%")
else:
final_pct1 = parse_percentage(pct1) if pct1 else 50.0
final_pct2 = parse_percentage(pct2) if pct2 else 50.0
# 如果百分比和不是100%,进行归一化
total_pct = final_pct1 + final_pct2
if total_pct == 0:
final_pct1, final_pct2 = 50.0, 50.0
elif total_pct != 100.0:
final_pct1 = (final_pct1 / total_pct) * 100
final_pct2 = (final_pct2 / total_pct) * 100
debug_print(f"📊 使用百分比参数: {final_pct1:.1f}% : {final_pct2:.1f}%")
# 设置默认溶剂(如果未指定)
final_solvent1 = solvent1.strip() if solvent1 else "ethyl_acetate"
final_solvent2 = solvent2.strip() if solvent2 else "hexane"
debug_print(f"参数: rf={final_rf}, 溶剂={final_solvent1}:{final_solvent2} = {final_pct1:.1f}%:{final_pct2:.1f}%")
debug_print(f"🧪 最终溶剂: {final_solvent1} : {final_solvent2}")
# === 查找设备和容器 ===
debug_print("📍 步骤3: 查找设备和容器...")
# 查找柱层析设备
column_device_id = find_column_device(G)
# 查找柱容器
column_vessel = find_column_vessel(G, column)
# 查找溶剂容器
solvent1_vessel = find_solvent_vessel(G, final_solvent1)
solvent2_vessel = find_solvent_vessel(G, final_solvent2)
debug_print(f"🔧 设备映射:")
debug_print(f" - 柱设备: '{column_device_id}'")
debug_print(f" - 柱容器: '{column_vessel}'")
debug_print(f" - 溶剂1容器: '{solvent1_vessel}'")
debug_print(f" - 溶剂2容器: '{solvent2_vessel}'")
# === 获取源容器体积 ===
debug_print("📍 步骤4: 获取源容器体积...")
source_volume = original_from_volume
if source_volume <= 0:
source_volume = 50.0
source_volume = 50.0 # 默认体积
debug_print(f"⚠️ 无法获取源容器体积,使用默认值: {source_volume}mL")
else:
debug_print(f"✅ 源容器体积: {source_volume}mL")
# === 计算溶剂体积 ===
debug_print("📍 步骤5: 计算溶剂体积...")
# 洗脱溶剂通常是样品体积的2-5倍
total_elution_volume = source_volume * 3.0
solvent1_volume, solvent2_volume = calculate_solvent_volumes(
total_elution_volume, final_pct1, final_pct2
)
# === 执行柱层析流程 ===
debug_print("📍 步骤6: 执行柱层析流程...")
# 🔧 新增:体积变化跟踪变量
current_from_volume = source_volume
current_to_volume = original_to_volume
current_column_volume = 0.0
try:
# 步骤1: 样品上柱
if column_vessel and column_vessel != from_vessel_id:
# 步骤6.1: 样品上柱(如果有独立的柱容器)
if column_vessel and column_vessel != from_vessel_id: # 🔧 使用 from_vessel_id
debug_print(f"📍 6.1: 样品上柱 - {source_volume}mL 从 {from_vessel_id}{column_vessel}")
try:
sample_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=from_vessel_id,
from_vessel=from_vessel_id, # 🔧 使用 from_vessel_id
to_vessel=column_vessel,
volume=source_volume,
flowrate=1.0,
flowrate=1.0, # 慢速上柱
transfer_flowrate=0.5,
rinsing_solvent="",
rinsing_solvent="", # 暂不冲洗
rinsing_volume=0.0,
rinsing_repeats=0
)
action_sequence.extend(sample_transfer_actions)
current_from_volume = 0.0
current_column_volume = source_volume
debug_print(f"✅ 样品上柱完成,添加了 {len(sample_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 样品转移到柱上
current_from_volume = 0.0 # 源容器体积变为0
current_column_volume = source_volume # 柱容器体积增加
update_vessel_volume(from_vessel, G, current_from_volume, "样品上柱后,源容器清空")
# 如果柱容器在图中,也更新其体积
if column_vessel in G.nodes():
if 'data' not in G.nodes[column_vessel]:
G.nodes[column_vessel]['data'] = {}
G.nodes[column_vessel]['data']['liquid_volume'] = current_column_volume
debug_print(f"📊 柱容器 '{column_vessel}' 体积更新为: {current_column_volume:.2f}mL")
except Exception as e:
debug_print(f"样品上柱失败: {str(e)}")
# 步骤2: 添加洗脱溶剂1
debug_print(f"⚠️ 样品上柱失败: {str(e)}")
# 步骤6.2: 添加洗脱溶剂1(如果有溶剂容器)
if solvent1_vessel and solvent1_volume > 0:
debug_print(f"📍 6.2: 添加洗脱溶剂1 - {solvent1_volume:.1f}mL {final_solvent1}")
try:
target_vessel = column_vessel if column_vessel else from_vessel_id
target_vessel = column_vessel if column_vessel else from_vessel_id # 🔧 使用 from_vessel_id
solvent1_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent1_vessel,
@@ -302,22 +574,27 @@ def generate_run_column_protocol(
transfer_flowrate=1.0
)
action_sequence.extend(solvent1_transfer_actions)
debug_print(f"✅ 溶剂1添加完成添加了 {len(solvent1_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 添加溶剂1
if target_vessel == column_vessel:
current_column_volume += solvent1_volume
if column_vessel in G.nodes():
G.nodes[column_vessel]['data']['liquid_volume'] = current_column_volume
debug_print(f"📊 柱容器体积增加: +{solvent1_volume:.2f}mL = {current_column_volume:.2f}mL")
elif target_vessel == from_vessel_id:
current_from_volume += solvent1_volume
update_vessel_volume(from_vessel, G, current_from_volume, "添加溶剂1后")
except Exception as e:
debug_print(f"溶剂1添加失败: {str(e)}")
# 步骤3: 添加洗脱溶剂2
debug_print(f"⚠️ 溶剂1添加失败: {str(e)}")
# 步骤6.3: 添加洗脱溶剂2(如果有溶剂容器)
if solvent2_vessel and solvent2_volume > 0:
debug_print(f"📍 6.3: 添加洗脱溶剂2 - {solvent2_volume:.1f}mL {final_solvent2}")
try:
target_vessel = column_vessel if column_vessel else from_vessel_id
target_vessel = column_vessel if column_vessel else from_vessel_id # 🔧 使用 from_vessel_id
solvent2_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent2_vessel,
@@ -327,26 +604,31 @@ def generate_run_column_protocol(
transfer_flowrate=1.0
)
action_sequence.extend(solvent2_transfer_actions)
debug_print(f"✅ 溶剂2添加完成添加了 {len(solvent2_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 添加溶剂2
if target_vessel == column_vessel:
current_column_volume += solvent2_volume
if column_vessel in G.nodes():
G.nodes[column_vessel]['data']['liquid_volume'] = current_column_volume
debug_print(f"📊 柱容器体积增加: +{solvent2_volume:.2f}mL = {current_column_volume:.2f}mL")
elif target_vessel == from_vessel_id:
current_from_volume += solvent2_volume
update_vessel_volume(from_vessel, G, current_from_volume, "添加溶剂2后")
except Exception as e:
debug_print(f"溶剂2添加失败: {str(e)}")
# 步骤4: 使用柱层析设备执行分离
debug_print(f"⚠️ 溶剂2添加失败: {str(e)}")
# 步骤6.4: 使用柱层析设备执行分离(如果有设备)
if column_device_id:
debug_print(f"📍 6.4: 使用柱层析设备执行分离")
column_separation_action = {
"device_id": column_device_id,
"action_name": "run_column",
"action_kwargs": {
"from_vessel": from_vessel_id,
"to_vessel": to_vessel_id,
"from_vessel": from_vessel_id, # 🔧 使用 from_vessel_id
"to_vessel": to_vessel_id, # 🔧 使用 to_vessel_id
"column": column,
"rf": rf,
"pct1": pct1,
@@ -357,65 +639,85 @@ def generate_run_column_protocol(
}
}
action_sequence.append(column_separation_action)
separation_time = max(30, min(120, int(total_elution_volume / 2)))
debug_print(f"✅ 柱层析设备动作已添加")
# 等待分离完成
separation_time = max(30, min(120, int(total_elution_volume / 2))) # 30-120秒基于体积
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": separation_time}
})
# 步骤5: 产物收集
if column_vessel and column_vessel != to_vessel_id:
debug_print(f"✅ 等待分离完成: {separation_time}")
# 步骤6.5: 产物收集(从柱容器到目标容器)
if column_vessel and column_vessel != to_vessel_id: # 🔧 使用 to_vessel_id
debug_print(f"📍 6.5: 产物收集 - 从 {column_vessel}{to_vessel_id}")
try:
# 估算产物体积原始样品体积的70-90%,收率考虑)
product_volume = source_volume * 0.8
product_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=column_vessel,
to_vessel=to_vessel_id,
to_vessel=to_vessel_id, # 🔧 使用 to_vessel_id
volume=product_volume,
flowrate=1.5,
transfer_flowrate=0.8
)
action_sequence.extend(product_transfer_actions)
debug_print(f"✅ 产物收集完成,添加了 {len(product_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 产物收集到目标容器
current_to_volume += product_volume
current_column_volume -= product_volume
current_column_volume -= product_volume # 柱容器体积减少
update_vessel_volume(to_vessel, G, current_to_volume, "产物收集后")
# 更新柱容器体积
if column_vessel in G.nodes():
G.nodes[column_vessel]['data']['liquid_volume'] = max(0.0, current_column_volume)
debug_print(f"📊 柱容器体积减少: -{product_volume:.2f}mL = {current_column_volume:.2f}mL")
except Exception as e:
debug_print(f"产物收集失败: {str(e)}")
# 步骤6: 简化模式 - 直接转移
debug_print(f"⚠️ 产物收集失败: {str(e)}")
# 步骤6.6: 如果没有独立的柱设备和容器,执行简化的直接转移
if not column_device_id and not column_vessel:
debug_print(f"📍 6.6: 简化模式 - 直接转移 {source_volume}mL 从 {from_vessel_id}{to_vessel_id}")
try:
direct_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=from_vessel_id,
to_vessel=to_vessel_id,
from_vessel=from_vessel_id, # 🔧 使用 from_vessel_id
to_vessel=to_vessel_id, # 🔧 使用 to_vessel_id
volume=source_volume,
flowrate=2.0,
transfer_flowrate=1.0
)
action_sequence.extend(direct_transfer_actions)
current_from_volume = 0.0
current_to_volume += source_volume
debug_print(f"✅ 直接转移完成,添加了 {len(direct_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 直接转移
current_from_volume = 0.0 # 源容器清空
current_to_volume += source_volume # 目标容器增加
update_vessel_volume(from_vessel, G, current_from_volume, "直接转移后,源容器清空")
update_vessel_volume(to_vessel, G, current_to_volume, "直接转移后,目标容器增加")
except Exception as e:
debug_print(f"直接转移失败: {str(e)}")
debug_print(f"⚠️ 直接转移失败: {str(e)}")
except Exception as e:
debug_print(f"协议生成失败: {str(e)}")
debug_print(f"协议生成失败: {str(e)} 😭")
# 不添加不确定的动作直接让action_sequence保持为空列表
# action_sequence 已经在函数开始时初始化为 []
# 确保至少有一个有效的动作,如果完全失败就返回空列表
if not action_sequence:
debug_print("⚠️ 没有生成任何有效动作")
# 可以选择返回空列表或添加一个基本的等待动作
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -423,50 +725,83 @@ def generate_run_column_protocol(
"description": "柱层析协议执行完成"
}
})
final_from_volume = get_resource_liquid_volume(from_vessel)
final_to_volume = get_resource_liquid_volume(to_vessel)
debug_print(f"柱层析协议生成完成: {len(action_sequence)} 个动作, {from_vessel_id} -> {to_vessel_id}, 收集={final_to_volume - original_to_volume:.2f}mL")
# 🔧 新增:柱层析完成后的最终状态报告
final_from_volume = get_vessel_liquid_volume(from_vessel)
final_to_volume = get_vessel_liquid_volume(to_vessel)
# 🎊 总结
debug_print("🏛️" * 20)
debug_print(f"🎉 柱层析协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"🥽 路径: {from_vessel_id}{to_vessel_id}")
debug_print(f"🏛️ 柱子: {column}")
debug_print(f"🧪 溶剂: {final_solvent1}:{final_solvent2} = {final_pct1:.1f}%:{final_pct2:.1f}%")
debug_print(f"📊 体积变化统计:")
debug_print(f" 源容器 {from_vessel_id}:")
debug_print(f" - 柱层析前: {original_from_volume:.2f}mL")
debug_print(f" - 柱层析后: {final_from_volume:.2f}mL")
debug_print(f" 目标容器 {to_vessel_id}:")
debug_print(f" - 柱层析前: {original_to_volume:.2f}mL")
debug_print(f" - 柱层析后: {final_to_volume:.2f}mL")
debug_print(f" - 收集体积: {final_to_volume - original_to_volume:.2f}mL")
debug_print(f"⏱️ 预计总时间: {len(action_sequence) * 5:.0f} 秒 ⌛")
debug_print("🏛️" * 20)
return action_sequence
# 便捷函数
def generate_ethyl_acetate_hexane_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
# 🔧 新增:便捷函数
def generate_ethyl_acetate_hexane_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str, ratio: str = "30:70") -> List[Dict[str, Any]]:
"""乙酸乙酯-己烷柱层析(常用组合)"""
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
from_vessel_id = from_vessel["id"]
to_vessel_id = to_vessel["id"]
debug_print(f"🧪⛽ 乙酸乙酯-己烷柱层析: {from_vessel_id}{to_vessel_id} @ {ratio}")
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
solvent1="ethyl_acetate", solvent2="hexane", ratio=ratio)
def generate_methanol_dcm_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
def generate_methanol_dcm_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str, ratio: str = "5:95") -> List[Dict[str, Any]]:
"""甲醇-二氯甲烷柱层析"""
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
from_vessel_id = from_vessel["id"]
to_vessel_id = to_vessel["id"]
debug_print(f"🧪🧪 甲醇-DCM柱层析: {from_vessel_id}{to_vessel_id} @ {ratio}")
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
solvent1="methanol", solvent2="dichloromethane", ratio=ratio)
def generate_gradient_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str, start_ratio: str = "10:90",
def generate_gradient_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str, start_ratio: str = "10:90",
end_ratio: str = "50:50") -> List[Dict[str, Any]]:
"""梯度洗脱柱层析(中等比例)"""
from_vessel_id, _ = get_vessel(from_vessel)
to_vessel_id, _ = get_vessel(to_vessel)
debug_print(f"📈 梯度柱层析: {from_vessel_id}{to_vessel_id} ({start_ratio}{end_ratio})")
# 使用中间比例作为近似
return generate_run_column_protocol(G, from_vessel, to_vessel, column, ratio="30:70")
def generate_polar_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
def generate_polar_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str) -> List[Dict[str, Any]]:
"""极性化合物柱层析(高极性溶剂比例)"""
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
from_vessel_id, _ = get_vessel(from_vessel)
to_vessel_id, _ = get_vessel(to_vessel)
debug_print(f"⚡ 极性化合物柱层析: {from_vessel_id}{to_vessel_id}")
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
solvent1="ethyl_acetate", solvent2="hexane", ratio="70:30")
def generate_nonpolar_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
def generate_nonpolar_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str) -> List[Dict[str, Any]]:
"""非极性化合物柱层析(低极性溶剂比例)"""
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
from_vessel_id, _ = get_vessel(from_vessel)
to_vessel_id, _ = get_vessel(to_vessel)
debug_print(f"🛢️ 非极性化合物柱层析: {from_vessel_id}{to_vessel_id}")
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
solvent1="ethyl_acetate", solvent2="hexane", ratio="5:95")
# 测试函数
def test_run_column_protocol():
"""测试柱层析协议"""
debug_print("=== RUN COLUMN PROTOCOL 测试 ===")
debug_print("测试完成")
debug_print("🧪 === RUN COLUMN PROTOCOL 测试 ===")
debug_print("测试完成 🎉")
if __name__ == "__main__":
test_run_column_protocol()

View File

@@ -1,11 +1,41 @@
from functools import partial
import networkx as nx
import re
import logging
import sys
from typing import List, Dict, Any, Union
from .utils.vessel_parser import get_vessel, find_solvent_vessel, find_connected_stirrer
from .utils.resource_helper import get_resource_liquid_volume, update_vessel_volume
from .utils.logger_util import debug_print, action_log
from .utils.unit_parser import parse_volume_input
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
# 确保输出编码为UTF-8
if hasattr(sys.stdout, 'reconfigure'):
try:
sys.stdout.reconfigure(encoding='utf-8')
sys.stderr.reconfigure(encoding='utf-8')
except:
pass
def debug_print(message):
"""调试输出函数 - 支持中文"""
try:
# 确保消息是字符串格式
safe_message = str(message)
logger.info(f"[SEPARATE] {safe_message}")
except UnicodeEncodeError:
# 如果编码失败,尝试替换不支持的字符
safe_message = str(message).encode('utf-8', errors='replace').decode('utf-8')
logger.info(f"[SEPARATE] {safe_message}")
except Exception as e:
# 最后的安全措施
fallback_message = f"日志输出错误: {repr(message)}"
logger.info(f"[SEPARATE] {fallback_message}")
create_action_log = partial(action_log, prefix="[SEPARATE]")
def generate_separate_protocol(
G: nx.DiGraph,
@@ -63,33 +93,45 @@ def generate_separate_protocol(
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print(f"开始生成分离协议: vessel={vessel_id}, purpose={purpose}, "
f"product_phase={product_phase}, solvent={solvent}, "
f"volume={volume}, repeats={repeats}")
debug_print("🌀" * 20)
debug_print("🚀 开始生成分离协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 🎯 分离目的: '{purpose}'")
debug_print(f" 📊 产物相: '{product_phase}'")
debug_print(f" 💧 溶剂: '{solvent}'")
debug_print(f" 📏 体积: {volume} (类型: {type(volume)})")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f" 🎯 产物容器: '{product_vessel}'")
debug_print(f" 🗑️ 废液容器: '{waste_vessel}'")
debug_print(f" 📦 其他参数: {kwargs}")
debug_print("🌀" * 20)
action_sequence = []
# 记录分离前的容器状态
original_liquid_volume = get_resource_liquid_volume(vessel)
debug_print(f"分离前液体体积: {original_liquid_volume:.2f}mL")
# 🔧 新增:记录分离前的容器状态
debug_print("🔍 记录分离前容器状态...")
original_liquid_volume = get_vessel_liquid_volume(vessel)
debug_print(f"📊 分离前液体体积: {original_liquid_volume:.2f}mL")
# === 参数验证和标准化 ===
action_sequence.append(action_log(f"开始分离操作 - 容器: {vessel_id}", "🎬", prefix="[SEPARATE]"))
action_sequence.append(action_log(f"分离目的: {purpose}", "🧪", prefix="[SEPARATE]"))
action_sequence.append(action_log(f"产物相: {product_phase}", "📊", prefix="[SEPARATE]"))
debug_print("🔍 步骤1: 参数验证和标准化...")
action_sequence.append(create_action_log(f"开始分离操作 - 容器: {vessel_id}", "🎬"))
action_sequence.append(create_action_log(f"分离目的: {purpose}", "🧪"))
action_sequence.append(create_action_log(f"产物相: {product_phase}", "📊"))
# 统一容器参数 - 支持字典和字符串
final_vessel_id = vessel_id
def extract_vessel_id(vessel_param):
if isinstance(vessel_param, dict):
return vessel_param.get("id", "")
elif isinstance(vessel_param, str):
return vessel_param
else:
return ""
to_vessel_result = get_vessel(to_vessel) if to_vessel else None
if to_vessel_result is None or to_vessel_result[0] == "":
to_vessel_result = get_vessel(product_vessel) if product_vessel else None
final_to_vessel_id = to_vessel_result[0] if to_vessel_result else ""
waste_vessel_result = get_vessel(waste_phase_to_vessel) if waste_phase_to_vessel else None
if waste_vessel_result is None or waste_vessel_result[0] == "":
waste_vessel_result = get_vessel(waste_vessel) if waste_vessel else None
final_waste_vessel_id = waste_vessel_result[0] if waste_vessel_result else ""
final_vessel_id, _ = vessel_id
final_to_vessel_id, _ = get_vessel(to_vessel) or get_vessel(product_vessel)
final_waste_vessel_id, _ = get_vessel(waste_phase_to_vessel) or get_vessel(waste_vessel)
# 统一体积参数
final_volume = parse_volume_input(volume or solvent_volume)
@@ -99,12 +141,16 @@ def generate_separate_protocol(
repeats = 1
debug_print(f"⚠️ 重复次数参数 <= 0自动设置为 1")
debug_print(f"标准化参数: vessel={final_vessel_id}, to={final_to_vessel_id}, "
f"waste={final_waste_vessel_id}, volume={final_volume}mL, repeats={repeats}")
debug_print(f"🔧 标准化后的参数:")
debug_print(f" 🥼 分离容器: '{final_vessel_id}'")
debug_print(f" 🎯 产物容器: '{final_to_vessel_id}'")
debug_print(f" 🗑️ 废液容器: '{final_waste_vessel_id}'")
debug_print(f" 📏 溶剂体积: {final_volume}mL")
debug_print(f" 🔄 重复次数: {repeats}")
action_sequence.append(action_log(f"分离容器: {final_vessel_id}", "🧪", prefix="[SEPARATE]"))
action_sequence.append(action_log(f"溶剂体积: {final_volume}mL", "📏", prefix="[SEPARATE]"))
action_sequence.append(action_log(f"重复次数: {repeats}", "🔄", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"分离容器: {final_vessel_id}", "🧪"))
action_sequence.append(create_action_log(f"溶剂体积: {final_volume}mL", "📏"))
action_sequence.append(create_action_log(f"重复次数: {repeats}", "🔄"))
# 验证必需参数
if not purpose:
@@ -114,68 +160,72 @@ def generate_separate_protocol(
if purpose not in ["wash", "extract", "separate"]:
debug_print(f"⚠️ 未知的分离目的 '{purpose}',使用默认值 'separate'")
purpose = "separate"
action_sequence.append(action_log(f"未知目的,使用: {purpose}", "⚠️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"未知目的,使用: {purpose}", "⚠️"))
if product_phase not in ["top", "bottom"]:
debug_print(f"⚠️ 未知的产物相 '{product_phase}',使用默认值 'top'")
product_phase = "top"
action_sequence.append(action_log(f"未知相别,使用: {product_phase}", "⚠️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"未知相别,使用: {product_phase}", "⚠️"))
action_sequence.append(action_log("参数验证通过", "", prefix="[SEPARATE]"))
debug_print("参数验证通过")
action_sequence.append(create_action_log("参数验证通过", ""))
# === 查找设备 ===
action_sequence.append(action_log("正在查找相关设备...", "🔍", prefix="[SEPARATE]"))
debug_print("🔍 步骤2: 查找设备...")
action_sequence.append(create_action_log("正在查找相关设备...", "🔍"))
# 查找分离器设备
separator_device = find_separator_device(G, final_vessel_id)
separator_device = find_separator_device(G, final_vessel_id) # 🔧 使用 final_vessel_id
if separator_device:
action_sequence.append(action_log(f"找到分离器设备: {separator_device}", "🧪", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"找到分离器设备: {separator_device}", "🧪"))
else:
debug_print("⚠️ 未找到分离器设备,可能无法执行分离")
action_sequence.append(action_log("未找到分离器设备", "⚠️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log("未找到分离器设备", "⚠️"))
# 查找搅拌器
stirrer_device = find_connected_stirrer(G, final_vessel_id)
stirrer_device = find_connected_stirrer(G, final_vessel_id) # 🔧 使用 final_vessel_id
if stirrer_device:
action_sequence.append(action_log(f"找到搅拌器: {stirrer_device}", "🌪️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"找到搅拌器: {stirrer_device}", "🌪️"))
else:
action_sequence.append(action_log("未找到搅拌器", "⚠️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log("未找到搅拌器", "⚠️"))
# 查找溶剂容器(如果需要)
solvent_vessel = ""
if solvent and solvent.strip():
try:
solvent_vessel = find_solvent_vessel(G, solvent)
except ValueError:
solvent_vessel = ""
solvent_vessel = find_solvent_vessel(G, solvent)
if solvent_vessel:
action_sequence.append(action_log(f"找到溶剂容器: {solvent_vessel}", "💧", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"找到溶剂容器: {solvent_vessel}", "💧"))
else:
action_sequence.append(action_log(f"未找到溶剂容器: {solvent}", "⚠️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"未找到溶剂容器: {solvent}", "⚠️"))
debug_print(f"设备配置: separator={separator_device}, stirrer={stirrer_device}, solvent_vessel={solvent_vessel}")
debug_print(f"📊 设备配置:")
debug_print(f" 🧪 分离器设备: '{separator_device}'")
debug_print(f" 🌪️ 搅拌器设备: '{stirrer_device}'")
debug_print(f" 💧 溶剂容器: '{solvent_vessel}'")
# === 执行分离流程 ===
action_sequence.append(action_log("开始分离工作流程", "🎯", prefix="[SEPARATE]"))
debug_print("🔍 步骤3: 执行分离流程...")
action_sequence.append(create_action_log("开始分离工作流程", "🎯"))
# 体积变化跟踪变量
# 🔧 新增:体积变化跟踪变量
current_volume = original_liquid_volume
try:
for repeat_idx in range(repeats):
cycle_num = repeat_idx + 1
debug_print(f"分离循环 {cycle_num}/{repeats} 开始")
action_sequence.append(action_log(f"分离循环 {cycle_num}/{repeats} 开始", "🔄", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮: 开始分离循环 {cycle_num}/{repeats}")
action_sequence.append(create_action_log(f"分离循环 {cycle_num}/{repeats} 开始", "🔄"))
# 步骤3.1: 添加溶剂(如果需要)
if solvent_vessel and final_volume > 0:
action_sequence.append(action_log(f"向分离容器添加 {final_volume}mL {solvent}", "💧", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮 步骤1: 添加溶剂 {solvent} ({final_volume}mL)")
action_sequence.append(create_action_log(f"向分离容器添加 {final_volume}mL {solvent}", "💧"))
try:
# 使用pump protocol添加溶剂
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_vessel,
to_vessel=final_vessel_id,
to_vessel=final_vessel_id, # 🔧 使用 final_vessel_id
volume=final_volume,
amount="",
time=0.0,
@@ -192,27 +242,30 @@ def generate_separate_protocol(
**kwargs
)
action_sequence.extend(pump_actions)
action_sequence.append(action_log(f"溶剂转移完成 ({len(pump_actions)} 个操作)", "", prefix="[SEPARATE]"))
debug_print(f"✅ 溶剂添加完成,添加了 {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"溶剂转移完成 ({len(pump_actions)} 个操作)", ""))
# 更新体积 - 添加溶剂后
# 🔧 新增:更新体积 - 添加溶剂后
current_volume += final_volume
update_vessel_volume(vessel, G, current_volume, f"添加{final_volume}mL {solvent}")
except Exception as e:
debug_print(f"❌ 溶剂添加失败: {str(e)}")
action_sequence.append(action_log(f"溶剂添加失败: {str(e)}", "", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"溶剂添加失败: {str(e)}", ""))
else:
action_sequence.append(action_log("无需添加溶剂", "⏭️", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮 步骤1: 无需添加溶剂")
action_sequence.append(create_action_log("无需添加溶剂", "⏭️"))
# 步骤3.2: 启动搅拌(如果有搅拌器)
if stirrer_device and stir_time > 0:
action_sequence.append(action_log(f"开始搅拌: {stir_speed}rpm持续 {stir_time}s", "🌪️", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮 步骤2: 开始搅拌 ({stir_speed}rpm持续 {stir_time}s)")
action_sequence.append(create_action_log(f"开始搅拌: {stir_speed}rpm持续 {stir_time}s", "🌪️"))
action_sequence.append({
"device_id": stirrer_device,
"action_name": "start_stir",
"action_kwargs": {
"vessel": {"id": final_vessel_id},
"vessel": {"id": final_vessel_id}, # 🔧 使用 final_vessel_id
"stir_speed": stir_speed,
"purpose": f"分离混合 - {purpose}"
}
@@ -220,37 +273,43 @@ def generate_separate_protocol(
# 搅拌等待
stir_minutes = stir_time / 60
action_sequence.append(action_log(f"搅拌中,持续 {stir_minutes:.1f} 分钟", "⏱️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"搅拌中,持续 {stir_minutes:.1f} 分钟", "⏱️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": stir_time}
})
# 停止搅拌
action_sequence.append(action_log("停止搅拌器", "🛑", prefix="[SEPARATE]"))
action_sequence.append(create_action_log("停止搅拌器", "🛑"))
action_sequence.append({
"device_id": stirrer_device,
"action_name": "stop_stir",
"action_kwargs": {"vessel": final_vessel_id}
"action_kwargs": {"vessel": final_vessel_id} # 🔧 使用 final_vessel_id
})
else:
action_sequence.append(action_log("无需搅拌", "⏭️", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮 步骤2: 无需搅拌")
action_sequence.append(create_action_log("无需搅拌", "⏭️"))
# 步骤3.3: 静置分层
if settling_time > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤3: 静置分层 ({settling_time}s)")
settling_minutes = settling_time / 60
action_sequence.append(action_log(f"静置分层 ({settling_minutes:.1f} 分钟)", "⚖️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"静置分层 ({settling_minutes:.1f} 分钟)", "⚖️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": settling_time}
})
else:
action_sequence.append(action_log("未指定静置时间", "⏭️", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮 步骤3: 未指定静置时间")
action_sequence.append(create_action_log("未指定静置时间", "⏭️"))
# 步骤3.4: 执行分离操作
if separator_device:
action_sequence.append(action_log(f"执行分离: 收集{product_phase}", "🧪", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮 步骤4: 执行分离操作")
action_sequence.append(create_action_log(f"执行分离: 收集{product_phase}", "🧪"))
# 🔧 替换为具体的分离操作逻辑基于old版本
# 首先进行分液判断(电导突跃)
action_sequence.append({
@@ -265,10 +324,11 @@ def generate_separate_protocol(
phase_volume = current_volume / 2
# 智能查找分离容器底部
separation_vessel_bottom = find_separation_vessel_bottom(G, final_vessel_id)
separation_vessel_bottom = find_separation_vessel_bottom(G, final_vessel_id) # ✅
if product_phase == "bottom":
action_sequence.append(action_log("收集底相产物", "📦", prefix="[SEPARATE]"))
debug_print(f"🔄 收集底相产物{final_to_vessel_id}")
action_sequence.append(create_action_log("收集底相产物", "📦"))
# 产物转移到目标瓶
if final_to_vessel_id:
@@ -304,7 +364,8 @@ def generate_separate_protocol(
action_sequence.extend(pump_actions)
elif product_phase == "top":
action_sequence.append(action_log("收集上相产物", "📦", prefix="[SEPARATE]"))
debug_print(f"🔄 收集上相产物{final_to_vessel_id}")
action_sequence.append(create_action_log("收集上相产物", "📦"))
# 弃去下面那一相进废液
if final_waste_vessel_id:
@@ -339,9 +400,10 @@ def generate_separate_protocol(
)
action_sequence.extend(pump_actions)
action_sequence.append(action_log("分离操作完成", "", prefix="[SEPARATE]"))
debug_print(f"分离操作完成")
action_sequence.append(create_action_log("分离操作完成", ""))
# 分离后体积估算
# 🔧 新增:分离后体积估算
separated_volume = phase_volume * 0.95 # 假设5%损失,只保留产物相体积
update_vessel_volume(vessel, G, separated_volume, f"分离操作后(第{cycle_num}轮)")
current_volume = separated_volume
@@ -349,21 +411,23 @@ def generate_separate_protocol(
# 收集结果
if final_to_vessel_id:
action_sequence.append(
action_log(f"产物 ({product_phase}相) 收集到: {final_to_vessel_id}", "📦", prefix="[SEPARATE]"))
create_action_log(f"产物 ({product_phase}相) 收集到: {final_to_vessel_id}", "📦"))
if final_waste_vessel_id:
action_sequence.append(action_log(f"废相收集到: {final_waste_vessel_id}", "🗑️", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"废相收集到: {final_waste_vessel_id}", "🗑️"))
else:
action_sequence.append(action_log("无分离器设备可用", "", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮 步骤4: 无分离器设备,跳过分离")
action_sequence.append(create_action_log("无分离器设备可用", ""))
# 添加等待时间模拟分离
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
# 如果不是最后一次,从中转瓶转移回分液漏斗
# 🔧 新增:如果不是最后一次,从中转瓶转移回分液漏斗基于old版本逻辑
if repeat_idx < repeats - 1 and final_to_vessel_id and final_to_vessel_id != final_vessel_id:
action_sequence.append(action_log("产物转回分离容器准备下一轮", "🔄", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮: 产物转回分离容器准备下一轮")
action_sequence.append(create_action_log("产物转回分离容器,准备下一轮", "🔄"))
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
@@ -380,85 +444,368 @@ def generate_separate_protocol(
# 循环间等待(除了最后一次)
if repeat_idx < repeats - 1:
action_sequence.append(action_log("等待下一次循环...", "", prefix="[SEPARATE]"))
debug_print(f"🔄 第{cycle_num}轮: 等待下一次循环...")
action_sequence.append(create_action_log("等待下一次循环...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
else:
action_sequence.append(action_log(f"分离循环 {cycle_num}/{repeats} 完成", "🌟", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"分离循环 {cycle_num}/{repeats} 完成", "🌟"))
except Exception as e:
debug_print(f"❌ 分离工作流程执行失败: {str(e)}")
action_sequence.append(action_log(f"分离工作流程失败: {str(e)}", "", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(f"分离工作流程失败: {str(e)}", ""))
# 分离完成后的最终状态报告
final_liquid_volume = get_resource_liquid_volume(vessel)
# 🔧 新增:分离完成后的最终状态报告
final_liquid_volume = get_vessel_liquid_volume(vessel)
# === 最终结果 ===
total_time = (stir_time + settling_time + 15) * repeats # 估算总时间
debug_print(f"分离协议生成完成: {len(action_sequence)} 个动作, "
f"预计 {total_time:.0f}s, 体积 {original_liquid_volume:.2f}{final_liquid_volume:.2f}mL")
debug_print("🌀" * 20)
debug_print(f"🎉 分离协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" ⏱️ 预计总时间: {total_time:.0f}s ({total_time / 60:.1f} 分钟)")
debug_print(f" 🥼 分离容器: {final_vessel_id}")
debug_print(f" 🎯 分离目的: {purpose}")
debug_print(f" 📊 产物相: {product_phase}")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f"💧 体积变化统计:")
debug_print(f" - 分离前体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 分离后体积: {final_liquid_volume:.2f}mL")
if solvent:
debug_print(f" 💧 溶剂: {solvent} ({final_volume}mL × {repeats}轮 = {final_volume * repeats:.2f}mL)")
if final_to_vessel_id:
debug_print(f" 🎯 产物容器: {final_to_vessel_id}")
if final_waste_vessel_id:
debug_print(f" 🗑️ 废液容器: {final_waste_vessel_id}")
debug_print("🌀" * 20)
# 添加完成日志
summary_msg = f"分离协议完成: {final_vessel_id} ({purpose}{repeats} 次循环)"
if solvent:
summary_msg += f",使用 {final_volume * repeats:.2f}mL {solvent}"
action_sequence.append(action_log(summary_msg, "🎉", prefix="[SEPARATE]"))
action_sequence.append(create_action_log(summary_msg, "🎉"))
return action_sequence
def parse_volume_input(volume_input: Union[str, float]) -> float:
"""
解析体积输入,支持带单位的字符串
Args:
volume_input: 体积输入(如 "200 mL", "?", 50.0
Returns:
float: 体积(毫升)
"""
if isinstance(volume_input, (int, float)):
debug_print(f"📏 体积输入为数值: {volume_input}")
return float(volume_input)
if not volume_input or not str(volume_input).strip():
debug_print(f"⚠️ 体积输入为空,返回 0.0mL")
return 0.0
volume_str = str(volume_input).lower().strip()
debug_print(f"🔍 解析体积输入: '{volume_str}'")
# 处理未知体积
if volume_str in ['?', 'unknown', 'tbd', 'to be determined', '未知', '待定']:
default_volume = 100.0 # 默认100mL
debug_print(f"❓ 检测到未知体积,使用默认值: {default_volume}mL")
return default_volume
# 移除空格并提取数字和单位
volume_clean = re.sub(r'\s+', '', volume_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(ml|l|μl|ul|microliter|milliliter|liter|毫升|升|微升)?', volume_clean)
if not match:
debug_print(f"⚠️ 无法解析体积: '{volume_str}',使用默认值 100mL")
return 100.0
value = float(match.group(1))
unit = match.group(2) or 'ml' # 默认单位为毫升
# 转换为毫升
if unit in ['l', 'liter', '']:
volume = value * 1000.0 # L -> mL
debug_print(f"🔄 体积转换: {value}L -> {volume}mL")
elif unit in ['μl', 'ul', 'microliter', '微升']:
volume = value / 1000.0 # μL -> mL
debug_print(f"🔄 体积转换: {value}μL -> {volume}mL")
else: # ml, milliliter, 毫升 或默认
volume = value # 已经是mL
debug_print(f"✅ 体积已为毫升单位: {volume}mL")
return volume
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂容器,支持多种匹配模式"""
if not solvent or not solvent.strip():
debug_print("⏭️ 未指定溶剂,跳过溶剂容器查找")
return ""
debug_print(f"🔍 正在查找溶剂 '{solvent}' 的容器...")
# 🔧 方法1直接搜索 data.reagent_name 和 config.reagent
debug_print(f"📋 方法1: 搜索试剂字段...")
for node in G.nodes():
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
config_data = G.nodes[node].get('config', {})
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
config_reagent = config_data.get('reagent', '').lower()
# 精确匹配
if reagent_name == solvent.lower() or config_reagent == solvent.lower():
debug_print(f"✅ 通过试剂字段精确匹配找到容器: {node}")
return node
# 模糊匹配
if (solvent.lower() in reagent_name and reagent_name) or \
(solvent.lower() in config_reagent and config_reagent):
debug_print(f"✅ 通过试剂字段模糊匹配找到容器: {node}")
return node
# 🔧 方法2常见的容器命名规则
debug_print(f"📋 方法2: 使用命名规则...")
solvent_clean = solvent.lower().replace(' ', '_').replace('-', '_')
possible_names = [
f"flask_{solvent_clean}",
f"bottle_{solvent_clean}",
f"vessel_{solvent_clean}",
f"{solvent_clean}_flask",
f"{solvent_clean}_bottle",
f"solvent_{solvent_clean}",
f"reagent_{solvent_clean}",
f"reagent_bottle_{solvent_clean}",
f"reagent_bottle_1", # 通用试剂瓶
f"reagent_bottle_2",
f"reagent_bottle_3"
]
debug_print(f"🎯 尝试的容器名称: {possible_names[:5]}... (共 {len(possible_names)} 个)")
for name in possible_names:
if name in G.nodes():
node_type = G.nodes[name].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到容器: {name}")
return name
# 🔧 方法3使用第一个试剂瓶作为备选
debug_print(f"📋 方法3: 查找备用试剂瓶...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if (node_data.get('type') == 'container' and
('reagent' in node_id.lower() or 'bottle' in node_id.lower())):
debug_print(f"⚠️ 未找到专用容器,使用备用容器: {node_id}")
return node_id
debug_print(f"❌ 无法找到溶剂 '{solvent}' 的容器")
return ""
def find_separator_device(G: nx.DiGraph, vessel: str) -> str:
"""查找分离器设备,支持多种查找方式"""
debug_print(f"🔍 正在查找容器 '{vessel}' 的分离器设备...")
# 方法1查找连接到容器的分离器设备
debug_print(f"📋 方法1: 检查连接的分离器...")
separator_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'separator' in node_class:
separator_nodes.append(node)
debug_print(f"📋 发现分离器设备: {node}")
# 检查是否连接到目标容器
if G.has_edge(node, vessel) or G.has_edge(vessel, node):
debug_print(f"✅ 找到连接的分离器: {node}")
return node
debug_print(f"📊 找到的分离器总数: {len(separator_nodes)}")
# 方法2根据命名规则查找
debug_print(f"📋 方法2: 使用命名规则...")
possible_names = [
f"{vessel}_controller",
f"{vessel}_separator",
vessel, # 容器本身可能就是分离器
"separator_1",
"virtual_separator",
"liquid_handler_1",
"liquid_handler_1", # 液体处理器也可能用于分离
"controller_1"
]
debug_print(f"🎯 尝试的分离器名称: {possible_names}")
for name in possible_names:
if name in G.nodes():
node_class = G.nodes[name].get('class', '').lower()
if 'separator' in node_class or 'controller' in node_class:
debug_print(f"✅ 通过命名规则找到分离器: {name}")
return name
# 方法3使用第一个可用分离器
# 方法3查找第一个分离器设备
debug_print(f"📋 方法3: 使用第一个可用分离器...")
if separator_nodes:
debug_print(f"⚠️ 使用第一个分离器设备: {separator_nodes[0]}")
return separator_nodes[0]
debug_print(f"❌ 未找到分离器设备")
return ""
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找连接到指定容器的搅拌器"""
debug_print(f"🔍 正在查找与容器 {vessel} 连接的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'stirrer' in node_class.lower():
stirrer_nodes.append(node)
debug_print(f"📋 发现搅拌器: {node}")
debug_print(f"📊 找到的搅拌器总数: {len(stirrer_nodes)}")
# 检查哪个搅拌器与目标容器相连
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer}")
return stirrer
# 如果没有连接的搅拌器,返回第一个可用的
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个可用的: {stirrer_nodes[0]}")
return stirrer_nodes[0]
debug_print("❌ 未找到搅拌器")
return ""
def get_vessel_liquid_volume(vessel: dict) -> float:
"""
获取容器中的液体体积 - 支持vessel字典
Args:
vessel: 容器字典
Returns:
float: 液体体积mL
"""
if not vessel or "data" not in vessel:
debug_print(f"⚠️ 容器数据为空,返回 0.0mL")
return 0.0
vessel_data = vessel["data"]
vessel_id = vessel.get("id", "unknown")
debug_print(f"🔍 读取容器 '{vessel_id}' 体积数据: {vessel_data}")
# 检查liquid_volume字段
if "liquid_volume" in vessel_data:
liquid_volume = vessel_data["liquid_volume"]
# 处理列表格式
if isinstance(liquid_volume, list):
if len(liquid_volume) > 0:
volume = liquid_volume[0]
if isinstance(volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (列表格式)")
return float(volume)
# 处理直接数值格式
elif isinstance(liquid_volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {liquid_volume}mL (数值格式)")
return float(liquid_volume)
# 检查其他可能的体积字段
volume_keys = ['current_volume', 'total_volume', 'volume']
for key in volume_keys:
if key in vessel_data:
try:
volume = float(vessel_data[key])
if volume > 0:
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (字段: {key})")
return volume
except (ValueError, TypeError):
continue
debug_print(f"⚠️ 无法获取容器 '{vessel_id}' 的体积,返回默认值 50.0mL")
return 50.0
def update_vessel_volume(vessel: dict, G: nx.DiGraph, new_volume: float, description: str = "") -> None:
"""
更新容器体积同时更新vessel字典和图节点
Args:
vessel: 容器字典
G: 网络图
new_volume: 新体积
description: 更新描述
"""
vessel_id = vessel.get("id", "unknown")
if description:
debug_print(f"🔧 更新容器体积 - {description}")
# 更新vessel字典中的体积
if "data" in vessel:
if "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] = new_volume
else:
vessel["data"]["liquid_volume"] = [new_volume]
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"] = {"liquid_volume": new_volume}
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
else:
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"📊 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")
def find_separation_vessel_bottom(G: nx.DiGraph, vessel_id: str) -> str:
"""
智能查找分离容器的底部容器假设为flask或vessel类型
Args:
G: 网络图
vessel_id: 分离容器ID
Returns:
str: 底部容器ID
"""
debug_print(f"🔍 查找分离容器 {vessel_id} 的底部容器...")
# 方法1根据命名规则推测
possible_bottoms = [
f"{vessel_id}_bottom",
@@ -467,25 +814,32 @@ def find_separation_vessel_bottom(G: nx.DiGraph, vessel_id: str) -> str:
f"{vessel_id}_flask",
f"{vessel_id}_vessel"
]
debug_print(f"📋 尝试的底部容器名称: {possible_bottoms}")
for bottom_id in possible_bottoms:
if bottom_id in G.nodes():
node_type = G.nodes[bottom_id].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到底部容器: {bottom_id}")
return bottom_id
# 方法2查找与分离器相连的容器
# 方法2查找与分离器相连的容器(假设底部容器会与分离器相连)
debug_print(f"📋 方法2: 查找连接的容器...")
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'separator' in node_class.lower():
# 检查分离器的输入端
if G.has_edge(node, vessel_id):
for neighbor in G.neighbors(node):
if neighbor != vessel_id:
neighbor_type = G.nodes[neighbor].get('type', '')
if neighbor_type == 'container':
debug_print(f"✅ 通过连接找到底部容器: {neighbor}")
return neighbor
debug_print(f"❌ 无法找到分离容器 {vessel_id} 的底部容器")
return ""

View File

@@ -1,40 +1,116 @@
from typing import List, Dict, Any, Union
import networkx as nx
import logging
import re
from .utils.unit_parser import parse_time_input
from .utils.resource_helper import get_resource_id, get_resource_display_info
from .utils.logger_util import debug_print
from .utils.vessel_parser import find_connected_stirrer
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[STIR] {message}")
def find_connected_stirrer(G: nx.DiGraph, vessel: str = None) -> str:
"""查找与指定容器相连的搅拌设备"""
debug_print(f"🔍 查找搅拌设备,目标容器: {vessel} 🥽")
# 🔧 查找所有搅拌设备
stirrer_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'stirrer' in node_class.lower() or 'virtual_stirrer' in node_class:
stirrer_nodes.append(node)
debug_print(f"🎉 找到搅拌设备: {node} 🌪️")
# 🔗 检查连接
if vessel and stirrer_nodes:
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 搅拌设备 '{stirrer}' 与容器 '{vessel}' 相连 🔗")
return stirrer
# 🎯 使用第一个可用设备
if stirrer_nodes:
selected = stirrer_nodes[0]
debug_print(f"🔧 使用第一个搅拌设备: {selected} 🌪️")
return selected
# 🆘 默认设备
debug_print("⚠️ 未找到搅拌设备,使用默认设备 🌪️")
return "stirrer_1"
def validate_and_fix_params(stir_time: float, stir_speed: float, settling_time: float) -> tuple:
"""验证和修正参数"""
# ⏰ 搅拌时间验证
if stir_time < 0:
debug_print(f"搅拌时间 {stir_time}s 无效,修正为 100s")
debug_print(f"⚠️ 搅拌时间 {stir_time}s 无效,修正为 100s 🕐")
stir_time = 100.0
elif stir_time > 100: # 限制为100s
debug_print(f"搅拌时间 {stir_time}s 过长,仿真运行时修正为 100s")
debug_print(f"⚠️ 搅拌时间 {stir_time}s 过长,仿真运行时修正为 100s 🕐")
stir_time = 100.0
else:
debug_print(f"✅ 搅拌时间 {stir_time}s ({stir_time/60:.1f}分钟) 有效 ⏰")
# 🌪️ 搅拌速度验证
if stir_speed < 10.0 or stir_speed > 1500.0:
debug_print(f"搅拌速度 {stir_speed} RPM 超出范围,修正为 300 RPM")
debug_print(f"⚠️ 搅拌速度 {stir_speed} RPM 超出范围,修正为 300 RPM 🌪️")
stir_speed = 300.0
else:
debug_print(f"✅ 搅拌速度 {stir_speed} RPM 在正常范围内 🌪️")
# ⏱️ 沉降时间验证
if settling_time < 0 or settling_time > 600: # 限制为10分钟
debug_print(f"沉降时间 {settling_time}s 超出范围,修正为 60s")
debug_print(f"⚠️ 沉降时间 {settling_time}s 超出范围,修正为 60s ⏱️")
settling_time = 60.0
else:
debug_print(f"✅ 沉降时间 {settling_time}s 在正常范围内 ⏱️")
return stir_time, stir_speed, settling_time
def extract_vessel_id(vessel) -> str:
"""从vessel参数中提取vessel_id兼容 str / dict / ResourceDictInstance"""
return get_resource_id(vessel)
def extract_vessel_id(vessel: Union[str, dict]) -> str:
"""
从vessel参数中提取vessel_id
Args:
vessel: vessel字典或vessel_id字符串
Returns:
str: vessel_id
"""
if isinstance(vessel, dict):
vessel_id = list(vessel.values())[0].get("id", "")
debug_print(f"🔧 从vessel字典提取ID: {vessel_id}")
return vessel_id
elif isinstance(vessel, str):
debug_print(f"🔧 vessel参数为字符串: {vessel}")
return vessel
else:
debug_print(f"⚠️ 无效的vessel参数类型: {type(vessel)}")
return ""
def get_vessel_display_info(vessel) -> str:
"""获取容器的显示信息(用于日志),兼容 str / dict / ResourceDictInstance"""
return get_resource_display_info(vessel)
def get_vessel_display_info(vessel: Union[str, dict]) -> str:
"""
获取容器的显示信息(用于日志)
Args:
vessel: vessel字典或vessel_id字符串
Returns:
str: 显示信息
"""
if isinstance(vessel, dict):
vessel_id = vessel.get("id", "unknown")
vessel_name = vessel.get("name", "")
if vessel_name:
return f"{vessel_id} ({vessel_name})"
else:
return vessel_id
else:
return str(vessel)
def generate_stir_protocol(
G: nx.DiGraph,
@@ -49,13 +125,16 @@ def generate_stir_protocol(
) -> List[Dict[str, Any]]:
"""生成搅拌操作的协议序列 - 修复vessel参数传递"""
# 🔧 核心修改正确处理vessel参数
vessel_id = extract_vessel_id(vessel)
vessel_display = get_vessel_display_info(vessel)
# 确保vessel_resource是完整的Resource对象
# 🔧 关键修复:确保vessel_resource是完整的Resource对象
if isinstance(vessel, dict):
vessel_resource = vessel
vessel_resource = vessel # 已经是完整的Resource字典
debug_print(f"✅ 使用传入的vessel Resource对象")
else:
# 如果只是字符串构建一个基本的Resource对象
vessel_resource = {
"id": vessel,
"name": "",
@@ -71,60 +150,91 @@ def generate_stir_protocol(
"sample_id": "",
"type": ""
}
# 参数验证
if not vessel_id:
debug_print(f"🔧 构建了基本的vessel Resource对象: {vessel}")
debug_print("🌪️" * 20)
debug_print("🚀 开始生成搅拌协议支持vessel字典")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel_display} (ID: {vessel_id})")
debug_print(f" ⏰ time: {time}")
debug_print(f" 🕐 stir_time: {stir_time}")
debug_print(f" 🎯 time_spec: {time_spec}")
debug_print(f" 🌪️ stir_speed: {stir_speed} RPM")
debug_print(f" ⏱️ settling_time: {settling_time}")
debug_print("🌪️" * 20)
# 📋 参数验证
debug_print("📍 步骤1: 参数验证... 🔧")
if not vessel_id: # 🔧 使用 vessel_id
debug_print("❌ vessel 参数不能为空! 😱")
raise ValueError("vessel 参数不能为空")
if vessel_id not in G.nodes():
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print(f"❌ 容器 '{vessel_id}' 不存在于系统中! 😞")
raise ValueError(f"容器 '{vessel_id}' 不存在于系统中")
# 参数解析 — 确定实际时间优先级time_spec > stir_time > time
debug_print("✅ 基础参数验证通过 🎯")
# 🔄 参数解析
debug_print("📍 步骤2: 参数解析... ⚡")
# 确定实际时间优先级time_spec > stir_time > time
if time_spec:
parsed_time = parse_time_input(time_spec)
debug_print(f"🎯 使用time_spec: '{time_spec}'{parsed_time}s")
elif stir_time not in ["0", 0, 0.0]:
parsed_time = parse_time_input(stir_time)
debug_print(f"🎯 使用stir_time: {stir_time}{parsed_time}s")
else:
parsed_time = parse_time_input(time)
debug_print(f"🎯 使用time: {time}{parsed_time}s")
# 解析沉降时间
parsed_settling_time = parse_time_input(settling_time)
# 模拟运行时间优化
# 🕐 模拟运行时间优化
debug_print(" ⏱️ 检查模拟运行时间限制...")
original_stir_time = parsed_time
original_settling_time = parsed_settling_time
# 搅拌时间限制为60秒
stir_time_limit = 60.0
if parsed_time > stir_time_limit:
parsed_time = stir_time_limit
debug_print(f" 🎮 搅拌时间优化: {original_stir_time}s → {parsed_time}s ⚡")
# 沉降时间限制为30秒
settling_time_limit = 30.0
if parsed_settling_time > settling_time_limit:
parsed_settling_time = settling_time_limit
debug_print(f" 🎮 沉降时间优化: {original_settling_time}s → {parsed_settling_time}s ⚡")
# 参数修正
parsed_time, stir_speed, parsed_settling_time = validate_and_fix_params(
parsed_time, stir_speed, parsed_settling_time
)
debug_print(f"最终参数: time={parsed_time}s, speed={stir_speed}RPM, settling={parsed_settling_time}s")
# 查找设备
debug_print(f"🎯 最终参数: time={parsed_time}s, speed={stir_speed}RPM, settling={parsed_settling_time}s")
# 🔍 查找设备
debug_print("📍 步骤3: 查找搅拌设备... 🔍")
try:
stirrer_id = find_connected_stirrer(G, vessel_id)
stirrer_id = find_connected_stirrer(G, vessel_id) # 🔧 使用 vessel_id
debug_print(f"🎉 使用搅拌设备: {stirrer_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)} 😭")
raise ValueError(f"无法找到搅拌设备: {str(e)}")
# 生成动作
# 🚀 生成动作
debug_print("📍 步骤4: 生成搅拌动作... 🌪️")
action_sequence = []
stir_action = {
"device_id": stirrer_id,
"action_name": "stir",
"action_kwargs": {
"vessel": {"id": vessel_id},
# 🔧 关键修复传递vessel_id字符串而不是完整的Resource对象
"vessel": {"id": vessel_id}, # 传递字符串ID不是Resource对象
"time": str(time),
"event": event,
"time_spec": time_spec,
@@ -134,14 +244,22 @@ def generate_stir_protocol(
}
}
action_sequence.append(stir_action)
# 时间优化信息
debug_print("✅ 搅拌动作已添加 🌪️✨")
# 显示时间优化信息
if original_stir_time != parsed_time or original_settling_time != parsed_settling_time:
debug_print(f"模拟优化: 搅拌 {original_stir_time/60:.1f}min→{parsed_time/60:.1f}min, "
f"沉降 {original_settling_time/60:.1f}min→{parsed_settling_time/60:.1f}min")
debug_print(f"搅拌协议生成完成: {vessel_display}, {stir_speed}RPM, "
f"{parsed_time}s, 沉降{parsed_settling_time}s, 总{(parsed_time + parsed_settling_time)/60:.1f}min")
debug_print(f" 🎭 模拟优化说明:")
debug_print(f" 搅拌时间: {original_stir_time/60:.1f}分钟 → {parsed_time/60:.1f}分钟")
debug_print(f" 沉降时间: {original_settling_time/60:.1f}分钟 → {parsed_settling_time/60:.1f}分钟")
# 🎊 总结
debug_print("🎊" * 20)
debug_print(f"🎉 搅拌协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"🥽 搅拌容器: {vessel_display}")
debug_print(f"🌪️ 搅拌参数: {stir_speed} RPM, {parsed_time}s, 沉降 {parsed_settling_time}s")
debug_print(f"⏱️ 预计总时间: {(parsed_time + parsed_settling_time)/60:.1f} 分钟 ⌛")
debug_print("🎊" * 20)
return action_sequence
@@ -154,13 +272,16 @@ def generate_start_stir_protocol(
) -> List[Dict[str, Any]]:
"""生成开始搅拌操作的协议序列 - 修复vessel参数传递"""
# 🔧 核心修改正确处理vessel参数
vessel_id = extract_vessel_id(vessel)
vessel_display = get_vessel_display_info(vessel)
# 确保vessel_resource是完整的Resource对象
# 🔧 关键修复:确保vessel_resource是完整的Resource对象
if isinstance(vessel, dict):
vessel_resource = vessel
vessel_resource = vessel # 已经是完整的Resource字典
debug_print(f"✅ 使用传入的vessel Resource对象")
else:
# 如果只是字符串构建一个基本的Resource对象
vessel_resource = {
"id": vessel,
"name": "",
@@ -176,29 +297,39 @@ def generate_start_stir_protocol(
"sample_id": "",
"type": ""
}
debug_print(f"🔧 构建了基本的vessel Resource对象: {vessel}")
debug_print("🔄 开始生成启动搅拌协议修复vessel参数")
debug_print(f"🥽 vessel: {vessel_display} (ID: {vessel_id})")
debug_print(f"🌪️ speed: {stir_speed} RPM")
debug_print(f"🎯 purpose: {purpose}")
# 基础验证
if not vessel_id or vessel_id not in G.nodes():
debug_print("❌ 容器验证失败!")
raise ValueError("vessel 参数无效")
# 参数修正
if stir_speed < 10.0 or stir_speed > 1500.0:
debug_print(f"⚠️ 搅拌速度修正: {stir_speed} → 300 RPM 🌪️")
stir_speed = 300.0
# 查找设备
stirrer_id = find_connected_stirrer(G, vessel_id)
# 🔧 关键修复传递vessel_id字符串
action_sequence = [{
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {
"vessel": {"id": vessel_id},
# 🔧 关键修复传递vessel_id字符串而不是完整的Resource对象
"vessel": {"id": vessel_id}, # 传递字符串ID不是Resource对象
"stir_speed": stir_speed,
"purpose": purpose or f"启动搅拌 {stir_speed} RPM"
}
}]
debug_print(f"启动搅拌协议: {vessel_display}, {stir_speed}RPM, device={stirrer_id}")
debug_print(f"启动搅拌协议生成完成 🎯")
return action_sequence
def generate_stop_stir_protocol(
@@ -208,13 +339,16 @@ def generate_stop_stir_protocol(
) -> List[Dict[str, Any]]:
"""生成停止搅拌操作的协议序列 - 修复vessel参数传递"""
# 🔧 核心修改正确处理vessel参数
vessel_id = extract_vessel_id(vessel)
vessel_display = get_vessel_display_info(vessel)
# 确保vessel_resource是完整的Resource对象
# 🔧 关键修复:确保vessel_resource是完整的Resource对象
if isinstance(vessel, dict):
vessel_resource = vessel
vessel_resource = vessel # 已经是完整的Resource字典
debug_print(f"✅ 使用传入的vessel Resource对象")
else:
# 如果只是字符串构建一个基本的Resource对象
vessel_resource = {
"id": vessel,
"name": "",
@@ -230,103 +364,115 @@ def generate_stop_stir_protocol(
"sample_id": "",
"type": ""
}
debug_print(f"🔧 构建了基本的vessel Resource对象: {vessel}")
debug_print("🛑 开始生成停止搅拌协议修复vessel参数")
debug_print(f"🥽 vessel: {vessel_display} (ID: {vessel_id})")
# 基础验证
if not vessel_id or vessel_id not in G.nodes():
debug_print("❌ 容器验证失败!")
raise ValueError("vessel 参数无效")
# 查找设备
stirrer_id = find_connected_stirrer(G, vessel_id)
# 🔧 关键修复传递vessel_id字符串
action_sequence = [{
"device_id": stirrer_id,
"action_name": "stop_stir",
"action_kwargs": {
"vessel": {"id": vessel_id},
# 🔧 关键修复传递vessel_id字符串而不是完整的Resource对象
"vessel": {"id": vessel_id}, # 传递字符串ID不是Resource对象
}
}]
debug_print(f"停止搅拌协议: {vessel_display}, device={stirrer_id}")
debug_print(f"停止搅拌协议生成完成 🎯")
return action_sequence
# 便捷函数
# 🔧 新增:便捷函数
def stir_briefly(G: nx.DiGraph, vessel: Union[str, dict],
speed: float = 300.0) -> List[Dict[str, Any]]:
"""短时间搅拌30秒"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"短时间搅拌: {vessel_display} @ {speed}RPM (30s)")
debug_print(f"短时间搅拌: {vessel_display} @ {speed}RPM (30s)")
return generate_stir_protocol(G, vessel, time="30", stir_speed=speed)
def stir_slowly(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "10 min") -> List[Dict[str, Any]]:
"""慢速搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"慢速搅拌: {vessel_display} @ 150RPM")
debug_print(f"🐌 慢速搅拌: {vessel_display} @ 150RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=150.0)
def stir_vigorously(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "5 min") -> List[Dict[str, Any]]:
"""剧烈搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"剧烈搅拌: {vessel_display} @ 800RPM")
debug_print(f"💨 剧烈搅拌: {vessel_display} @ 800RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=800.0)
def stir_for_reaction(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "1 h") -> List[Dict[str, Any]]:
"""反应搅拌(标准速度,长时间)"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"反应搅拌: {vessel_display} @ 400RPM")
debug_print(f"🧪 反应搅拌: {vessel_display} @ 400RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=400.0)
def stir_for_dissolution(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "15 min") -> List[Dict[str, Any]]:
"""溶解搅拌(中等速度)"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"溶解搅拌: {vessel_display} @ 500RPM")
debug_print(f"💧 溶解搅拌: {vessel_display} @ 500RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=500.0)
def stir_gently(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "30 min") -> List[Dict[str, Any]]:
"""温和搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"温和搅拌: {vessel_display} @ 200RPM")
debug_print(f"🍃 温和搅拌: {vessel_display} @ 200RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=200.0)
def stir_overnight(G: nx.DiGraph, vessel: Union[str, dict]) -> List[Dict[str, Any]]:
"""过夜搅拌模拟时缩短为2小时"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"过夜搅拌模拟2小时: {vessel_display} @ 300RPM")
debug_print(f"🌙 过夜搅拌模拟2小时: {vessel_display} @ 300RPM")
return generate_stir_protocol(G, vessel, time="2 h", stir_speed=300.0)
def start_continuous_stirring(G: nx.DiGraph, vessel: Union[str, dict],
speed: float = 300.0, purpose: str = "continuous stirring") -> List[Dict[str, Any]]:
"""开始连续搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"开始连续搅拌: {vessel_display} @ {speed}RPM")
debug_print(f"🔄 开始连续搅拌: {vessel_display} @ {speed}RPM")
return generate_start_stir_protocol(G, vessel, stir_speed=speed, purpose=purpose)
def stop_all_stirring(G: nx.DiGraph, vessel: Union[str, dict]) -> List[Dict[str, Any]]:
"""停止所有搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"停止搅拌: {vessel_display}")
debug_print(f"🛑 停止搅拌: {vessel_display}")
return generate_stop_stir_protocol(G, vessel)
# 测试函数
def test_stir_protocol():
"""测试搅拌协议"""
debug_print("🧪 === STIR PROTOCOL 测试 === ✨")
# 测试vessel参数处理
debug_print("🔧 测试vessel参数处理...")
# 测试字典格式
vessel_dict = {"id": "flask_1", "name": "反应瓶1"}
vessel_id = extract_vessel_id(vessel_dict)
vessel_display = get_vessel_display_info(vessel_dict)
debug_print(f"字典格式: {vessel_dict} -> ID: {vessel_id}, 显示: {vessel_display}")
debug_print(f" 字典格式: {vessel_dict} ID: {vessel_id}, 显示: {vessel_display}")
# 测试字符串格式
vessel_str = "flask_2"
vessel_id = extract_vessel_id(vessel_str)
vessel_display = get_vessel_display_info(vessel_str)
debug_print(f"字符串格式: {vessel_str} -> ID: {vessel_id}, 显示: {vessel_display}")
debug_print("测试完成")
debug_print(f" 字符串格式: {vessel_str} ID: {vessel_id}, 显示: {vessel_display}")
debug_print("测试完成 🎉")
if __name__ == "__main__":
test_stir_protocol()

View File

@@ -1,57 +1,36 @@
"""编译器共享日志工具"""
import inspect
# 🆕 创建进度日志动作
import logging
from typing import Dict, Any
# 模块名到前缀的映射
_MODULE_PREFIXES = {
"add_protocol": "[ADD]",
"adjustph_protocol": "[ADJUSTPH]",
"clean_vessel_protocol": "[CLEAN_VESSEL]",
"dissolve_protocol": "[DISSOLVE]",
"dry_protocol": "[DRY]",
"evacuateandrefill_protocol": "[EVACUATE]",
"evaporate_protocol": "[EVAPORATE]",
"filter_protocol": "[FILTER]",
"heatchill_protocol": "[HEATCHILL]",
"hydrogenate_protocol": "[HYDROGENATE]",
"pump_protocol": "[PUMP]",
"recrystallize_protocol": "[RECRYSTALLIZE]",
"reset_handling_protocol": "[RESET]",
"run_column_protocol": "[RUN_COLUMN]",
"separate_protocol": "[SEPARATE]",
"stir_protocol": "[STIR]",
"wash_solid_protocol": "[WASH_SOLID]",
"vessel_parser": "[VESSEL_PARSER]",
"unit_parser": "[UNIT_PARSER]",
"resource_helper": "[RESOURCE_HELPER]",
}
logger = logging.getLogger(__name__)
def debug_print(message, prefix=None):
"""调试输出 — 自动根据调用模块设置前缀"""
if prefix is None:
frame = inspect.currentframe()
caller = frame.f_back if frame else None
module_name = ""
if caller:
module_name = caller.f_globals.get("__name__", "")
# 取最后一段作为模块短名
module_name = module_name.rsplit(".", 1)[-1]
prefix = _MODULE_PREFIXES.get(module_name, f"[{module_name.upper()}]")
logger = logging.getLogger("unilabos.compile")
def debug_print(message, prefix="[UNIT_PARSER]"):
"""调试输出"""
logger.info(f"{prefix} {message}")
def action_log(message: str, emoji: str = "📝", prefix="[HIGH-LEVEL OPERATION]") -> Dict[str, Any]:
"""创建一个动作日志"""
full_message = f"{prefix} {emoji} {message}"
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
"""创建一个动作日志 - 支持中文和emoji"""
try:
full_message = f"{prefix} {emoji} {message}"
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
}
}
}
except Exception as e:
# 如果emoji有问题使用纯文本
safe_message = f"{prefix} {message}"
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": safe_message,
"progress_message": safe_message
}
}

View File

@@ -1,172 +0,0 @@
"""
资源实例兼容层
提供 ensure_resource_instance() 将 dict / ResourceDictInstance 统一转为
ResourceDictInstance使编译器可以渐进式迁移到强类型资源。
"""
from typing import Any, Dict, Optional, Union
from unilabos.resources.resource_tracker import ResourceDictInstance
def ensure_resource_instance(
resource: Union[Dict[str, Any], ResourceDictInstance, None],
) -> Optional[ResourceDictInstance]:
"""将 dict 或 ResourceDictInstance 统一转为 ResourceDictInstance
编译器入口统一调用此函数,即可同时兼容旧 dict 传参和新 ResourceDictInstance 传参。
Args:
resource: 资源数据,可以是 plain dict、ResourceDictInstance 或 None
Returns:
ResourceDictInstance 或 None当输入为 None 时)
"""
if resource is None:
return None
if isinstance(resource, ResourceDictInstance):
return resource
if isinstance(resource, dict):
return ResourceDictInstance.get_resource_instance_from_dict(resource)
raise TypeError(f"不支持的资源类型: {type(resource)}, 期望 dict 或 ResourceDictInstance")
def resource_to_dict(resource: Union[Dict[str, Any], ResourceDictInstance]) -> Dict[str, Any]:
"""将 ResourceDictInstance 或 dict 统一转为 plain dict
用于需要 dict 操作的场景(如 children dict 操作)。
Args:
resource: ResourceDictInstance 或 dict
Returns:
plain dict
"""
if isinstance(resource, dict):
return resource
if isinstance(resource, ResourceDictInstance):
return resource.get_plr_nested_dict()
raise TypeError(f"不支持的资源类型: {type(resource)}")
def get_resource_id(resource: Union[str, Dict[str, Any], ResourceDictInstance]) -> str:
"""从资源对象中提取 ID
Args:
resource: 字符串 ID、dict 或 ResourceDictInstance
Returns:
资源 ID 字符串
"""
if isinstance(resource, str):
return resource
if isinstance(resource, ResourceDictInstance):
return resource.res_content.id
if isinstance(resource, dict):
if "id" in resource:
return resource["id"]
# 兼容 {station_id: {...}} 格式
first_val = next(iter(resource.values()), {})
if isinstance(first_val, dict):
return first_val.get("id", "")
return ""
raise TypeError(f"不支持的资源类型: {type(resource)}")
def get_resource_data(resource: Union[str, Dict[str, Any], ResourceDictInstance]) -> Dict[str, Any]:
"""从资源对象中提取 data 字段
Args:
resource: 字符串、dict 或 ResourceDictInstance
Returns:
data 字典
"""
if isinstance(resource, str):
return {}
if isinstance(resource, ResourceDictInstance):
return dict(resource.res_content.data)
if isinstance(resource, dict):
return resource.get("data", {})
return {}
def get_resource_display_info(resource: Union[str, Dict[str, Any], ResourceDictInstance]) -> str:
"""获取资源的显示信息(用于日志)
Args:
resource: 字符串 ID、dict 或 ResourceDictInstance
Returns:
显示信息字符串
"""
if isinstance(resource, str):
return resource
if isinstance(resource, ResourceDictInstance):
res = resource.res_content
return f"{res.id} ({res.name})" if res.name and res.name != res.id else res.id
if isinstance(resource, dict):
res_id = resource.get("id", "unknown")
res_name = resource.get("name", "")
if res_name and res_name != res_id:
return f"{res_id} ({res_name})"
return res_id
return str(resource)
def get_resource_liquid_volume(resource: Union[Dict[str, Any], ResourceDictInstance]) -> float:
"""从资源中获取液体体积
Args:
resource: dict 或 ResourceDictInstance
Returns:
液体总体积 (mL)
"""
data = get_resource_data(resource)
liquids = data.get("liquid", [])
if isinstance(liquids, list):
return sum(l.get("volume", 0.0) for l in liquids if isinstance(l, dict))
return 0.0
def update_vessel_volume(vessel, G, new_volume: float, description: str = "") -> None:
"""
更新容器体积同时更新vessel字典和图节点
Args:
vessel: 容器字典或 ResourceDictInstance
G: 网络图 (nx.DiGraph)
new_volume: 新体积 (mL)
description: 更新描述(用于日志)
"""
import logging
logger = logging.getLogger("unilabos.compile")
vessel_id = get_resource_id(vessel)
if description:
logger.info(f"[RESOURCE] 更新容器体积 - {description}")
# 更新 vessel 字典中的体积
if isinstance(vessel, dict):
if "data" not in vessel:
vessel["data"] = {}
lv = vessel["data"].get("liquid_volume")
if isinstance(lv, list) and len(lv) > 0:
vessel["data"]["liquid_volume"][0] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
# 同时更新图中的容器数据
if vessel_id and vessel_id in G.nodes():
if "data" not in G.nodes[vessel_id]:
G.nodes[vessel_id]["data"] = {}
node_lv = G.nodes[vessel_id]["data"].get("liquid_volume")
if isinstance(node_lv, list) and len(node_lv) > 0:
G.nodes[vessel_id]["data"]["liquid_volume"][0] = new_volume
else:
G.nodes[vessel_id]["data"]["liquid_volume"] = new_volume
logger.info(f"[RESOURCE] 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")

View File

@@ -184,42 +184,6 @@ def parse_time_input(time_input: Union[str, float]) -> float:
return time_sec
def parse_temperature_input(temp_input: Union[str, float], default_temp: float = 25.0) -> float:
"""
解析温度输入,支持字符串和数值
Args:
temp_input: 温度输入(如 "256 °C", "reflux", 45.0
default_temp: 默认温度
Returns:
float: 温度°C
"""
if not temp_input:
return default_temp
if isinstance(temp_input, (int, float)):
return float(temp_input)
temp_str = str(temp_input).lower().strip()
# 特殊温度关键词
special_temps = {
"room temperature": 25.0, "reflux": 78.0, "ice bath": 0.0,
"boiling": 100.0, "hot": 60.0, "warm": 40.0, "cold": 10.0,
}
if temp_str in special_temps:
return special_temps[temp_str]
# 正则解析(如 "256 °C", "45°C", "45"
match = re.search(r'(\d+(?:\.\d+)?)\s*°?[cf]?', temp_str)
if match:
return float(match.group(1))
debug_print(f"无法解析温度: '{temp_str}',使用默认值: {default_temp}°C")
return default_temp
# 测试函数
def test_unit_parser():
"""测试单位解析功能"""

View File

@@ -1,23 +1,27 @@
import networkx as nx
from .logger_util import debug_print
from .resource_helper import get_resource_id, get_resource_data
def get_vessel(vessel):
"""
统一处理vessel参数返回vessel_id和vessel_data。
支持 dict、str、ResourceDictInstance。
Args:
vessel: 可以是一个字典字符串或 ResourceDictInstance表示vessel的ID或数据。
vessel: 可以是一个字典字符串表示vessel的ID或数据。
Returns:
tuple: 包含vessel_id和vessel_data。
"""
# 统一使用 resource_helper 处理
vessel_id = get_resource_id(vessel)
vessel_data = get_resource_data(vessel)
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = {}
return vessel_id, vessel_data
@@ -274,31 +278,4 @@ def find_solid_dispenser(G: nx.DiGraph) -> str:
return node
debug_print(f"❌ 未找到固体加样器")
return ""
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""查找与指定容器相连的加热/冷却设备"""
heatchill_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
node_name = node.lower()
if ('heatchill' in node_class.lower() or 'virtual_heatchill' in node_class
or 'heater' in node_name or 'heat' in node_name):
heatchill_nodes.append(node)
# 检查连接
if vessel and heatchill_nodes:
for hc in heatchill_nodes:
if G.has_edge(hc, vessel) or G.has_edge(vessel, hc):
debug_print(f"加热设备 '{hc}' 与容器 '{vessel}' 相连")
return hc
# 使用第一个可用设备
if heatchill_nodes:
debug_print(f"使用第一个加热设备: {heatchill_nodes[0]}")
return heatchill_nodes[0]
debug_print("未找到加热设备,使用默认设备")
return "heatchill_1"
return ""

View File

@@ -4,55 +4,199 @@ import logging
import re
from .utils.unit_parser import parse_time_input, parse_volume_input
from .utils.resource_helper import get_resource_id, get_resource_display_info, get_resource_liquid_volume, update_vessel_volume
from .utils.logger_util import debug_print
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[WASH_SOLID] {message}")
def find_solvent_source(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂源"""
"""查找溶剂源(精简版)"""
debug_print(f"🔍 查找溶剂源: {solvent}")
# 简化搜索列表
search_patterns = [
f"flask_{solvent}", f"bottle_{solvent}", f"reagent_{solvent}",
"liquid_reagent_bottle_1", "flask_1", "solvent_bottle"
]
for pattern in search_patterns:
if pattern in G.nodes():
debug_print(f"找到溶剂源: {pattern}")
debug_print(f"🎉 找到溶剂源: {pattern}")
return pattern
debug_print(f"使用默认溶剂源: flask_{solvent}")
debug_print(f"⚠️ 使用默认溶剂源: flask_{solvent}")
return f"flask_{solvent}"
def find_filtrate_vessel(G: nx.DiGraph, filtrate_vessel: str = "") -> str:
"""查找滤液容器"""
"""查找滤液容器(精简版)"""
debug_print(f"🔍 查找滤液容器: {filtrate_vessel}")
# 如果指定了且存在,直接使用
if filtrate_vessel and filtrate_vessel in G.nodes():
debug_print(f"✅ 使用指定容器: {filtrate_vessel}")
return filtrate_vessel
# 简化搜索列表
default_vessels = ["waste_workup", "filtrate_vessel", "flask_1", "collection_bottle_1"]
for vessel in default_vessels:
if vessel in G.nodes():
debug_print(f"找到滤液容器: {vessel}")
debug_print(f"🎉 找到滤液容器: {vessel}")
return vessel
debug_print(f"⚠️ 使用默认滤液容器: waste_workup")
return "waste_workup"
def extract_vessel_id(vessel) -> str:
"""从vessel参数中提取vessel_id兼容 str / dict / ResourceDictInstance"""
return get_resource_id(vessel)
def extract_vessel_id(vessel: Union[str, dict]) -> str:
"""
从vessel参数中提取vessel_id
Args:
vessel: vessel字典或vessel_id字符串
Returns:
str: vessel_id
"""
if isinstance(vessel, dict):
vessel_id = list(vessel.values())[0].get("id", "")
debug_print(f"🔧 从vessel字典提取ID: {vessel_id}")
return vessel_id
elif isinstance(vessel, str):
debug_print(f"🔧 vessel参数为字符串: {vessel}")
return vessel
else:
debug_print(f"⚠️ 无效的vessel参数类型: {type(vessel)}")
return ""
def get_vessel_display_info(vessel) -> str:
"""获取容器的显示信息(用于日志),兼容 str / dict / ResourceDictInstance"""
return get_resource_display_info(vessel)
def get_vessel_display_info(vessel: Union[str, dict]) -> str:
"""
获取容器的显示信息(用于日志)
Args:
vessel: vessel字典或vessel_id字符串
Returns:
str: 显示信息
"""
if isinstance(vessel, dict):
vessel_id = vessel.get("id", "unknown")
vessel_name = vessel.get("name", "")
if vessel_name:
return f"{vessel_id} ({vessel_name})"
else:
return vessel_id
else:
return str(vessel)
def get_vessel_liquid_volume(vessel: dict) -> float:
"""
获取容器中的液体体积 - 支持vessel字典
Args:
vessel: 容器字典
Returns:
float: 液体体积mL
"""
if not vessel or "data" not in vessel:
debug_print(f"⚠️ 容器数据为空,返回 0.0mL")
return 0.0
vessel_data = vessel["data"]
vessel_id = vessel.get("id", "unknown")
debug_print(f"🔍 读取容器 '{vessel_id}' 体积数据: {vessel_data}")
# 检查liquid_volume字段
if "liquid_volume" in vessel_data:
liquid_volume = vessel_data["liquid_volume"]
# 处理列表格式
if isinstance(liquid_volume, list):
if len(liquid_volume) > 0:
volume = liquid_volume[0]
if isinstance(volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (列表格式)")
return float(volume)
# 处理直接数值格式
elif isinstance(liquid_volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {liquid_volume}mL (数值格式)")
return float(liquid_volume)
# 检查其他可能的体积字段
volume_keys = ['current_volume', 'total_volume', 'volume']
for key in volume_keys:
if key in vessel_data:
try:
volume = float(vessel_data[key])
if volume > 0:
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (字段: {key})")
return volume
except (ValueError, TypeError):
continue
debug_print(f"⚠️ 无法获取容器 '{vessel_id}' 的体积,返回默认值 0.0mL")
return 0.0
def update_vessel_volume(vessel: dict, G: nx.DiGraph, new_volume: float, description: str = "") -> None:
"""
更新容器体积同时更新vessel字典和图节点
Args:
vessel: 容器字典
G: 网络图
new_volume: 新体积
description: 更新描述
"""
vessel_id = vessel.get("id", "unknown")
if description:
debug_print(f"🔧 更新容器体积 - {description}")
# 更新vessel字典中的体积
if "data" in vessel:
if "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] = new_volume
else:
vessel["data"]["liquid_volume"] = [new_volume]
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"] = {"liquid_volume": new_volume}
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
else:
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"📊 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")
def generate_wash_solid_protocol(
G: nx.DiGraph,
vessel: Union[str, dict],
vessel: Union[str, dict], # 🔧 修改支持vessel字典
solvent: str,
volume: Union[float, str] = "50",
filtrate_vessel: Union[str, dict] = "",
filtrate_vessel: Union[str, dict] = "", # 🔧 修改支持vessel字典
temp: float = 25.0,
stir: bool = False,
stir_speed: float = 0.0,
@@ -66,7 +210,7 @@ def generate_wash_solid_protocol(
) -> List[Dict[str, Any]]:
"""
生成固体清洗协议 - 支持vessel字典和体积运算
Args:
G: 有向图,节点为设备和容器,边为流体管道
vessel: 清洗容器字典从XDL传入或容器ID字符串
@@ -83,78 +227,106 @@ def generate_wash_solid_protocol(
mass: 固体质量(用于计算溶剂用量)
event: 事件描述
**kwargs: 其他可选参数
Returns:
List[Dict[str, Any]]: 固体清洗操作的动作序列
"""
# 🔧 核心修改从vessel参数中提取vessel_id
vessel_id = extract_vessel_id(vessel)
vessel_display = get_vessel_display_info(vessel)
# 🔧 处理filtrate_vessel参数
filtrate_vessel_id = extract_vessel_id(filtrate_vessel) if filtrate_vessel else ""
debug_print(f"开始生成固体清洗协议: vessel={vessel_id}, solvent={solvent}, volume={volume}, repeats={repeats}")
# 记录清洗前的容器状态
debug_print("🧼" * 20)
debug_print("🚀 开始生成固体清洗协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel_display} (ID: {vessel_id})")
debug_print(f" 🧪 solvent: {solvent}")
debug_print(f" 💧 volume: {volume}")
debug_print(f" 🗑️ filtrate_vessel: {filtrate_vessel_id}")
debug_print(f" ⏰ time: {time}")
debug_print(f" 🔄 repeats: {repeats}")
debug_print("🧼" * 20)
# 🔧 新增:记录清洗前的容器状态
debug_print("🔍 记录清洗前容器状态...")
if isinstance(vessel, dict):
original_volume = get_resource_liquid_volume(vessel)
original_volume = get_vessel_liquid_volume(vessel)
debug_print(f"📊 清洗前液体体积: {original_volume:.2f}mL")
else:
original_volume = 0.0
# 快速验证
if not vessel_id or vessel_id not in G.nodes():
debug_print(f"📊 vessel为字符串格式无法获取体积信息")
# 📋 快速验证
if not vessel_id or vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print("❌ 容器验证失败! 😱")
raise ValueError("vessel 参数无效")
if not solvent:
debug_print("❌ 溶剂不能为空! 😱")
raise ValueError("solvent 参数不能为空")
# 参数解析
debug_print("✅ 基础验证通过 🎯")
# 🔄 参数解析
debug_print("📍 步骤1: 参数解析... ⚡")
final_volume = parse_volume_input(volume, volume_spec, mass)
final_time = parse_time_input(time)
# 重复次数处理
# 重复次数处理(简化)
if repeats_spec:
spec_map = {'few': 2, 'several': 3, 'many': 4, 'thorough': 5}
final_repeats = next((v for k, v in spec_map.items() if k in repeats_spec.lower()), repeats)
else:
final_repeats = max(1, min(repeats, 5))
# 模拟时间优化
final_repeats = max(1, min(repeats, 5)) # 限制1-5次
# 🕐 模拟时间优化
debug_print(" ⏱️ 模拟时间优化...")
original_time = final_time
if final_time > 60.0:
final_time = 60.0
debug_print(f"时间优化: {original_time}s -> {final_time}s")
final_time = 60.0 # 限制最长60秒
debug_print(f" 🎮 时间优化: {original_time}s {final_time}s")
# 参数修正
temp = max(25.0, min(temp, 80.0))
stir_speed = max(0.0, min(stir_speed, 300.0)) if stir else 0.0
debug_print(f"最终参数: 体积={final_volume}mL, 时间={final_time}s, 重复={final_repeats}")
# 查找设备
temp = max(25.0, min(temp, 80.0)) # 温度范围25-80°C
stir_speed = max(0.0, min(stir_speed, 300.0)) if stir else 0.0 # 速度范围0-300
debug_print(f"🎯 最终参数: 体积={final_volume}mL, 时间={final_time}s, 重复={final_repeats}")
# 🔍 查找设备
debug_print("📍 步骤2: 查找设备... 🔍")
try:
solvent_source = find_solvent_source(G, solvent)
actual_filtrate_vessel = find_filtrate_vessel(G, filtrate_vessel_id)
debug_print(f"🎉 设备配置完成 ✨")
debug_print(f" 🧪 溶剂源: {solvent_source}")
debug_print(f" 🗑️ 滤液容器: {actual_filtrate_vessel}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)} 😭")
raise ValueError(f"设备查找失败: {str(e)}")
# 生成动作序列
# 🚀 生成动作序列
debug_print("📍 步骤3: 生成清洗动作... 🧼")
action_sequence = []
# 🔧 新增:体积变化跟踪变量
current_volume = original_volume
total_solvent_used = 0.0
for cycle in range(final_repeats):
debug_print(f"{cycle+1}/{final_repeats}次清洗")
debug_print(f" 🔄 {cycle+1}/{final_repeats}次清洗...")
# 1. 转移溶剂
try:
from .pump_protocol import generate_pump_protocol_with_rinsing
debug_print(f" 💧 添加溶剂: {final_volume}mL {solvent}")
transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_source,
to_vessel=vessel_id,
to_vessel=vessel_id, # 🔧 使用 vessel_id
volume=final_volume,
amount="",
time=0.0,
@@ -166,160 +338,211 @@ def generate_wash_solid_protocol(
flowrate=2.5,
transfer_flowrate=0.5
)
if transfer_actions:
action_sequence.extend(transfer_actions)
debug_print(f" ✅ 转移动作: {len(transfer_actions)}个 🚚")
# 🔧 新增:更新体积 - 添加溶剂后
current_volume += final_volume
total_solvent_used += final_volume
if isinstance(vessel, dict):
update_vessel_volume(vessel, G, current_volume,
update_vessel_volume(vessel, G, current_volume,
f"{cycle+1}次清洗添加{final_volume}mL溶剂后")
except Exception as e:
debug_print(f"转移失败: {str(e)}")
debug_print(f"转移失败: {str(e)} 😞")
# 2. 搅拌(如果需要)
if stir and final_time > 0:
debug_print(f" 🌪️ 搅拌: {final_time}s @ {stir_speed}RPM")
stir_action = {
"device_id": "stirrer_1",
"action_name": "stir",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"time": str(time),
"stir_time": final_time,
"stir_speed": stir_speed,
"settling_time": 10.0
"settling_time": 10.0 # 🕐 缩短沉降时间
}
}
action_sequence.append(stir_action)
debug_print(f" ✅ 搅拌动作: {final_time}s, {stir_speed}RPM 🌪️")
# 3. 过滤
debug_print(f" 🌊 过滤到: {actual_filtrate_vessel}")
filter_action = {
"device_id": "filter_1",
"action_name": "filter",
"action_kwargs": {
"vessel": {"id": vessel_id},
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"filtrate_vessel": actual_filtrate_vessel,
"temp": temp,
"volume": final_volume
}
}
action_sequence.append(filter_action)
# 更新体积 - 过滤后
filtered_volume = current_volume * 0.9
debug_print(f" ✅ 过滤动作: → {actual_filtrate_vessel} 🌊")
# 🔧 新增:更新体积 - 过滤后(液体被滤除)
# 假设滤液完全被移除,固体残留在容器中
filtered_volume = current_volume * 0.9 # 假设90%的液体被过滤掉
current_volume = current_volume - filtered_volume
if isinstance(vessel, dict):
update_vessel_volume(vessel, G, current_volume,
update_vessel_volume(vessel, G, current_volume,
f"{cycle+1}次清洗过滤后")
# 4. 等待
wait_time = 5.0
# 4. 等待(缩短时间)
wait_time = 5.0 # 🕐 缩短等待时间10s → 5s
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": wait_time}
})
# 最终状态
debug_print(f" ✅ 等待: {wait_time}s ⏰")
# 🔧 新增:清洗完成后的最终状态报告
if isinstance(vessel, dict):
final_volume_vessel = get_resource_liquid_volume(vessel)
final_volume_vessel = get_vessel_liquid_volume(vessel)
else:
final_volume_vessel = current_volume
debug_print(f"固体清洗协议生成完成: {len(action_sequence)} 个动作, {final_repeats}次清洗, 溶剂总用量={total_solvent_used:.2f}mL")
# 🎊 总结
debug_print("🧼" * 20)
debug_print(f"🎉 固体清洗协议生成完成! ✨")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" 🥽 清洗容器: {vessel_display}")
debug_print(f" 🧪 使用溶剂: {solvent}")
debug_print(f" 💧 单次体积: {final_volume}mL")
debug_print(f" 🔄 清洗次数: {final_repeats}")
debug_print(f" 💧 总溶剂用量: {total_solvent_used:.2f}mL")
debug_print(f"📊 体积变化统计:")
debug_print(f" - 清洗前体积: {original_volume:.2f}mL")
debug_print(f" - 清洗后体积: {final_volume_vessel:.2f}mL")
debug_print(f" - 溶剂总用量: {total_solvent_used:.2f}mL")
debug_print(f"⏱️ 预计总时间: {(final_time + 5) * final_repeats / 60:.1f} 分钟")
debug_print("🧼" * 20)
return action_sequence
# 便捷函数
def wash_with_water(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "50",
# 🔧 新增:便捷函数
def wash_with_water(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "50",
repeats: int = 2) -> List[Dict[str, Any]]:
"""用水清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"💧 水洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, "water", volume=volume, repeats=repeats)
def wash_with_ethanol(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "30",
def wash_with_ethanol(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "30",
repeats: int = 1) -> List[Dict[str, Any]]:
"""用乙醇清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🍺 乙醇洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, "ethanol", volume=volume, repeats=repeats)
def wash_with_acetone(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "25",
def wash_with_acetone(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "25",
repeats: int = 1) -> List[Dict[str, Any]]:
"""用丙酮清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"💨 丙酮洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, "acetone", volume=volume, repeats=repeats)
def wash_with_ether(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "40",
def wash_with_ether(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "40",
repeats: int = 2) -> List[Dict[str, Any]]:
"""用乙醚清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🌬️ 乙醚洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, "diethyl_ether", volume=volume, repeats=repeats)
def wash_with_cold_solvent(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "30",
def wash_with_cold_solvent(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "30",
repeats: int = 1) -> List[Dict[str, Any]]:
"""用冷溶剂清洗固体"""
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
vessel_display = get_vessel_display_info(vessel)
debug_print(f"❄️ 冷{solvent}洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
temp=5.0, repeats=repeats)
def wash_with_hot_solvent(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50",
def wash_with_hot_solvent(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50",
repeats: int = 1) -> List[Dict[str, Any]]:
"""用热溶剂清洗固体"""
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🔥 热{solvent}洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
temp=60.0, repeats=repeats)
def wash_with_stirring(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50",
stir_time: Union[str, float] = "5 min",
def wash_with_stirring(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50",
stir_time: Union[str, float] = "5 min",
repeats: int = 1) -> List[Dict[str, Any]]:
"""带搅拌的溶剂清洗"""
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
stir=True, stir_speed=200.0,
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🌪️ 搅拌清洗: {vessel_display} with {solvent} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
stir=True, stir_speed=200.0,
time=stir_time, repeats=repeats)
def thorough_wash(G: nx.DiGraph, vessel: Union[str, dict],
def thorough_wash(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50") -> List[Dict[str, Any]]:
"""彻底清洗(多次重复)"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🔄 彻底清洗: {vessel_display} with {solvent} (5 次)")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume, repeats=5)
def quick_rinse(G: nx.DiGraph, vessel: Union[str, dict],
def quick_rinse(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "20") -> List[Dict[str, Any]]:
"""快速冲洗(单次,小体积)"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"⚡ 快速冲洗: {vessel_display} with {solvent}")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume, repeats=1)
def sequential_wash(G: nx.DiGraph, vessel: Union[str, dict],
def sequential_wash(G: nx.DiGraph, vessel: Union[str, dict],
solvents: list, volume: Union[float, str] = "40") -> List[Dict[str, Any]]:
"""连续多溶剂清洗"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"📝 连续清洗: {vessel_display} with {''.join(solvents)}")
action_sequence = []
for solvent in solvents:
wash_actions = generate_wash_solid_protocol(G, vessel, solvent,
wash_actions = generate_wash_solid_protocol(G, vessel, solvent,
volume=volume, repeats=1)
action_sequence.extend(wash_actions)
return action_sequence
# 测试函数
def test_wash_solid_protocol():
"""测试固体清洗协议"""
debug_print("=== WASH SOLID PROTOCOL 测试 ===")
vessel_dict = {"id": "filter_flask_1", "name": "过滤瓶1",
debug_print("🧪 === WASH SOLID PROTOCOL 测试 ===")
# 测试vessel参数处理
debug_print("🔧 测试vessel参数处理...")
# 测试字典格式
vessel_dict = {"id": "filter_flask_1", "name": "过滤瓶1",
"data": {"liquid_volume": 25.0}}
vessel_id = extract_vessel_id(vessel_dict)
vessel_display = get_vessel_display_info(vessel_dict)
volume = get_resource_liquid_volume(vessel_dict)
debug_print(f"字典格式: ID={vessel_id}, 显示={vessel_display}, 体积={volume}mL")
volume = get_vessel_liquid_volume(vessel_dict)
debug_print(f" 字典格式: {vessel_dict}")
debug_print(f" → ID: {vessel_id}, 显示: {vessel_display}, 体积: {volume}mL")
# 测试字符串格式
vessel_str = "filter_flask_2"
vessel_id = extract_vessel_id(vessel_str)
vessel_display = get_vessel_display_info(vessel_str)
debug_print(f"字符串格式: ID={vessel_id}, 显示={vessel_display}")
debug_print("测试完成")
debug_print(f" 字符串格式: {vessel_str}")
debug_print(f" → ID: {vessel_id}, 显示: {vessel_display}")
debug_print("✅ 测试完成 🎉")
if __name__ == "__main__":
test_wash_solid_protocol()
test_wash_solid_protocol()

View File

@@ -46,7 +46,7 @@ class WSConfig:
# HTTP配置
class HTTPConfig:
remote_addr = "https://uni-lab.bohrium.com/api/v1"
remote_addr = "https://leap-lab.bohrium.com/api/v1"
# ROS配置

View File

@@ -1,127 +0,0 @@
"""
AGV 通用转运工站 Driver
继承 WorkstationBase通过 WorkstationNodeCreator 自动获得 ROS2WorkstationNode 能力。
Warehouse 作为 children 中的资源节点,由 attach_resource() 自动注册到 resource_tracker。
deck=None不使用 PLR Deck 抽象。
"""
from typing import Any, Dict, List, Optional
from pylabrobot.resources import Deck
from unilabos.devices.workstation.workstation_base import WorkstationBase
from unilabos.resources.warehouse import WareHouse
from unilabos.utils import logger
class AGVTransportStation(WorkstationBase):
"""通用 AGV 转运工站
初始化链路(零框架改动):
ROS2DeviceNode.__init__():
issubclass(AGVTransportStation, WorkstationBase) → True
→ WorkstationNodeCreator.create_instance(data):
data["deck"] = None
→ DeviceClassCreator.create_instance(data) → AGVTransportStation(deck=None, ...)
→ attach_resource(): children 中 type="warehouse" → resource_tracker.add_resource(wh)
→ ROS2WorkstationNode(protocol_type=[...], children=[nav, arm], ...)
→ driver.post_init(ros_node):
self.carrier 从 resource_tracker 中获取 WareHouse
"""
def __init__(
self,
deck: Optional[Deck] = None,
children: Optional[List[Any]] = None,
route_table: Optional[Dict[str, Dict[str, str]]] = None,
device_roles: Optional[Dict[str, str]] = None,
**kwargs,
):
super().__init__(deck=None, **kwargs)
self.route_table: Dict[str, Dict[str, str]] = route_table or {}
self.device_roles: Dict[str, str] = device_roles or {}
# ============ 载具 (Warehouse) ============
@property
def carrier(self) -> Optional[WareHouse]:
"""从 resource_tracker 中找到 AGV 载具 Warehouse"""
if not hasattr(self, "_ros_node"):
return None
for res in self._ros_node.resource_tracker.resources:
if isinstance(res, WareHouse):
return res
return None
@property
def capacity(self) -> int:
"""AGV 载具总容量slot 数)"""
wh = self.carrier
if wh is None:
return 0
return wh.num_items_x * wh.num_items_y * wh.num_items_z
@property
def free_slots(self) -> List[str]:
"""返回当前空闲 slot 名称列表"""
wh = self.carrier
if wh is None:
return []
ordering = getattr(wh, "_ordering", {})
return [name for name, site in ordering.items() if site.resource is None]
@property
def occupied_slots(self) -> Dict[str, Any]:
"""返回已占用的 slot → Resource 映射"""
wh = self.carrier
if wh is None:
return {}
ordering = getattr(wh, "_ordering", {})
return {name: site.resource for name, site in ordering.items() if site.resource is not None}
# ============ 路由查询 ============
def resolve_route(self, from_station: str, to_station: str) -> Dict[str, str]:
"""查询路由表,返回导航和机械臂指令
Args:
from_station: 来源工站 ID
to_station: 目标工站 ID
Returns:
{"nav_command": "...", "arm_pick": "...", "arm_place": "..."}
Raises:
KeyError: 路由表中未找到对应路线
"""
route_key = f"{from_station}->{to_station}"
if route_key not in self.route_table:
raise KeyError(f"路由表中未找到路线: {route_key}")
return self.route_table[route_key]
def get_device_id(self, role: str) -> str:
"""获取子设备 ID
Args:
role: 设备角色,如 "navigator", "arm"
Returns:
设备 ID 字符串
Raises:
KeyError: 未配置该角色的设备
"""
if role not in self.device_roles:
raise KeyError(f"未配置设备角色: {role},当前已配置: {list(self.device_roles.keys())}")
return self.device_roles[role]
# ============ 生命周期 ============
def post_init(self, ros_node) -> None:
super().post_init(ros_node)
wh = self.carrier
if wh is not None:
logger.info(f"AGV {ros_node.device_id} 载具已就绪: {wh.name}, 容量={self.capacity}")
else:
logger.warning(f"AGV {ros_node.device_id} 未发现 Warehouse 载具资源")

View File

@@ -2,6 +2,8 @@ import time
import logging
from typing import Union, Dict, Optional
from unilabos.registry.decorators import topic_config
class VirtualMultiwayValve:
"""
@@ -41,13 +43,11 @@ class VirtualMultiwayValve:
def target_position(self) -> int:
return self._target_position
def get_current_position(self) -> int:
"""获取当前阀门位置 📍"""
return self._current_position
def get_current_port(self) -> str:
"""获取当前连接的端口名称 🔌"""
return self._current_position
@property
@topic_config()
def current_port(self) -> str:
"""当前连接的端口名称 🔌"""
return self.port
def set_position(self, command: Union[int, str]):
"""
@@ -169,12 +169,14 @@ class VirtualMultiwayValve:
self._status = "Idle"
self._valve_state = "Closed"
close_msg = f"🔒 阀门已关闭,保持在位置 {self._current_position} ({self.get_current_port()})"
close_msg = f"🔒 阀门已关闭,保持在位置 {self._current_position} ({self.port})"
self.logger.info(close_msg)
return close_msg
def get_valve_position(self) -> int:
"""获取阀门位置 - 兼容性方法 📍"""
@property
@topic_config()
def valve_position(self) -> int:
"""阀门位置 📍"""
return self._current_position
def set_valve_position(self, command: Union[int, str]):
@@ -229,19 +231,16 @@ class VirtualMultiwayValve:
self.logger.info(f"🔄 从端口 {self._current_position} 切换到泵位置...")
return self.set_to_pump_position()
def get_flow_path(self) -> str:
"""获取当前流路路径描述 🌊"""
current_port = self.get_current_port()
@property
@topic_config()
def flow_path(self) -> str:
"""当前流路路径描述 🌊"""
if self._current_position == 0:
flow_path = f"🚰 转移泵已连接 (位置 {self._current_position})"
else:
flow_path = f"🔌 端口 {self._current_position} 已连接 ({current_port})"
# 删除debug日志self.logger.debug(f"🌊 当前流路: {flow_path}")
return flow_path
return f"🚰 转移泵已连接 (位置 {self._current_position})"
return f"🔌 端口 {self._current_position} 已连接 ({self.current_port})"
def __str__(self):
current_port = self.get_current_port()
current_port = self.current_port
status_emoji = "" if self._status == "Idle" else "🔄" if self._status == "Busy" else ""
return f"🔄 VirtualMultiwayValve({status_emoji} 位置: {self._current_position}/{self.max_positions}, 端口: {current_port}, 状态: {self._status})"
@@ -253,7 +252,7 @@ if __name__ == "__main__":
print("🔄 === 虚拟九通阀门测试 === ✨")
print(f"🏠 初始状态: {valve}")
print(f"🌊 当前流路: {valve.get_flow_path()}")
print(f"🌊 当前流路: {valve.flow_path}")
# 切换到试剂瓶11号位
print(f"\n🔌 切换到1号位: {valve.set_position(1)}")

View File

@@ -3,6 +3,7 @@ import logging
import time as time_module
from typing import Dict, Any
from unilabos.registry.decorators import topic_config
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
class VirtualStirrer:
@@ -314,9 +315,11 @@ class VirtualStirrer:
def min_speed(self) -> float:
return self._min_speed
def get_device_info(self) -> Dict[str, Any]:
"""获取设备状态信息 📊"""
info = {
@property
@topic_config()
def device_info(self) -> Dict[str, Any]:
"""设备状态快照信息 📊"""
return {
"device_id": self.device_id,
"status": self.status,
"operation_mode": self.operation_mode,
@@ -325,12 +328,9 @@ class VirtualStirrer:
"is_stirring": self.is_stirring,
"remaining_time": self.remaining_time,
"max_speed": self._max_speed,
"min_speed": self._min_speed
"min_speed": self._min_speed,
}
# self.logger.debug(f"📊 设备信息: 模式={self.operation_mode}, 速度={self.current_speed} RPM, 搅拌={self.is_stirring}")
return info
def __str__(self):
status_emoji = "" if self.operation_mode == "Idle" else "🌪️" if self.operation_mode == "Stirring" else "🛑" if self.operation_mode == "Settling" else ""
return f"🌪️ VirtualStirrer({status_emoji} {self.device_id}: {self.operation_mode}, {self.current_speed} RPM)"

View File

@@ -4,6 +4,7 @@ from enum import Enum
from typing import Union, Optional
import logging
from unilabos.registry.decorators import topic_config
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
@@ -385,8 +386,10 @@ class VirtualTransferPump:
"""获取当前体积"""
return self._current_volume
def get_remaining_capacity(self) -> float:
"""获取剩余容量"""
@property
@topic_config()
def remaining_capacity(self) -> float:
"""剩余容量 (ml)"""
return self.max_volume - self._current_volume
def is_empty(self) -> bool:

View File

@@ -22,10 +22,11 @@ from threading import Lock, RLock
from typing_extensions import TypedDict
from unilabos.registry.decorators import (
device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action
device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action, NodeType
)
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample
from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, ROS2DeviceNode
from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample, ResourceTreeSet
# ============ TypedDict 返回类型定义 ============
@@ -290,6 +291,126 @@ class VirtualWorkbench:
self._update_data_status(f"机械臂已释放 (完成: {task})")
self.logger.info(f"机械臂已释放 (完成: {task})")
@action(
always_free=True, node_type=NodeType.MANUAL_CONFIRM, placeholder_keys={
"assignee_user_ids": "unilabos_manual_confirm"
}, goal_default={
"timeout_seconds": 3600,
"assignee_user_ids": []
}, feedback_interval=300,
handles=[
ActionInputHandle(key="target_device", data_type="device_id",
label="目标设备", data_key="target_device", data_source=DataSource.HANDLE),
ActionInputHandle(key="resource", data_type="resource",
label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="mount_resource", data_type="resource",
label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="collector_mass", data_type="collector_mass",
label="极流体质量", data_key="collector_mass", data_source=DataSource.HANDLE),
ActionInputHandle(key="active_material", data_type="active_material",
label="活性物质含量", data_key="active_material", data_source=DataSource.HANDLE),
ActionInputHandle(key="capacity", data_type="capacity",
label="克容量", data_key="capacity", data_source=DataSource.HANDLE),
ActionInputHandle(key="battery_system", data_type="battery_system",
label="电池体系", data_key="battery_system", data_source=DataSource.HANDLE),
# transfer使用
ActionOutputHandle(key="target_device", data_type="device_id",
label="目标设备", data_key="target_device", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="resource", data_type="resource",
label="待转移资源", data_key="resource.@flatten", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="mount_resource", data_type="resource",
label="目标孔位", data_key="mount_resource.@flatten", data_source=DataSource.EXECUTOR),
# test使用
ActionOutputHandle(key="collector_mass", data_type="collector_mass",
label="极流体质量", data_key="collector_mass", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="active_material", data_type="active_material",
label="活性物质含量", data_key="active_material", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="capacity", data_type="capacity",
label="克容量", data_key="capacity", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="battery_system", data_type="battery_system",
label="电池体系", data_key="battery_system", data_source=DataSource.EXECUTOR),
]
)
def manual_confirm(
self,
resource: List[ResourceSlot],
target_device: DeviceSlot,
mount_resource: List[ResourceSlot],
collector_mass: List[float],
active_material: List[float],
capacity: List[float],
battery_system: List[str],
timeout_seconds: int,
assignee_user_ids: list[str],
**kwargs
) -> dict:
"""
timeout_seconds: 超时时间默认3600秒
collector_mass: 极流体质量
active_material: 活性物质含量
capacity: 克容量mAh/g
battery_system: 电池体系
修改的结果无效,是只读的
"""
resource = ResourceTreeSet.from_plr_resources(resource).dump()
mount_resource = ResourceTreeSet.from_plr_resources(mount_resource).dump()
kwargs.update(locals())
kwargs.pop("kwargs")
kwargs.pop("self")
return kwargs
@action(
description="转移物料",
handles=[
ActionInputHandle(key="target_device", data_type="device_id",
label="目标设备", data_key="target_device", data_source=DataSource.HANDLE),
ActionInputHandle(key="resource", data_type="resource",
label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="mount_resource", data_type="resource",
label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
]
)
async def transfer(self, resource: List[ResourceSlot], target_device: DeviceSlot, mount_resource: List[ResourceSlot]):
future = ROS2DeviceNode.run_async_func(self._ros_node.transfer_resource_to_another, True,
**{
"plr_resources": resource,
"target_device_id": target_device,
"target_resources": mount_resource,
"sites": [None] * len(mount_resource),
})
result = await future
return result
@action(
description="扣电测试启动",
handles=[
ActionInputHandle(key="resource", data_type="resource",
label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="mount_resource", data_type="resource",
label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="collector_mass", data_type="collector_mass",
label="极流体质量", data_key="collector_mass", data_source=DataSource.HANDLE),
ActionInputHandle(key="active_material", data_type="active_material",
label="活性物质含量", data_key="active_material", data_source=DataSource.HANDLE),
ActionInputHandle(key="capacity", data_type="capacity",
label="克容量", data_key="capacity", data_source=DataSource.HANDLE),
ActionInputHandle(key="battery_system", data_type="battery_system",
label="电池体系", data_key="battery_system", data_source=DataSource.HANDLE),
]
)
async def test(
self, resource: List[ResourceSlot], mount_resource: List[ResourceSlot], collector_mass: List[float], active_material: List[float], capacity: List[float], battery_system: list[str]
):
print(resource)
print(mount_resource)
print(collector_mass)
print(active_material)
print(capacity)
print(battery_system)
@action(
auto_prefix=True,
description="批量准备物料 - 虚拟起始节点, 生成A1-A5物料, 输出5个handle供后续节点使用",

View File

@@ -197,28 +197,6 @@ class WorkstationBase(ABC):
self._ros_node = workstation_node
logger.info(f"工作站 {self._ros_node.device_id} 关联协议节点")
# ============ 物料转运回调 ============
def resource_tree_batch_transfer(
self,
transfers: list,
old_parents: list,
new_parents: list,
) -> None:
"""批量物料转运完成后的回调,供子类重写
默认实现:逐个调用 resource_tree_transfer如存在
Args:
transfers: 转移列表,每项包含 resource, from_parent, to_parent, to_site 等
old_parents: 每个物料转移前的原父节点
new_parents: 每个物料转移后的新父节点
"""
func = getattr(self, "resource_tree_transfer", None)
if callable(func):
for t, old_parent, new_parent in zip(transfers, old_parents, new_parents):
func(old_parent, t["resource"], new_parent)
# ============ 设备操作接口 ============
def call_device_method(self, method: str, *args, **kwargs) -> Any:

View File

@@ -217,24 +217,6 @@ class AGVTransferProtocol(BaseModel):
from_repo_position: str
to_repo_position: str
class BatchTransferItem(BaseModel):
"""批量转运中的单个物料条目"""
resource_uuid: str = ""
resource_id: str = ""
from_position: str
to_position: str
class BatchTransferProtocol(BaseModel):
"""批量物料转运协议 — 支持多物料一次性从来源工站转运到目标工站"""
from_repo: dict
to_repo: dict
transfer_resources: list # list[Resource dict],被转运的物料
from_positions: list # list[str],来源 slot 位置(与 transfer_resources 平行)
to_positions: list # list[str],目标 slot 位置(与 transfer_resources 平行)
#=============新添加的新的协议================
class AddProtocol(BaseModel):
vessel: dict
@@ -647,16 +629,15 @@ class HydrogenateProtocol(BaseModel):
vessel: dict = Field(..., description="反应容器")
__all__ = [
"Point3D", "PumpTransferProtocol", "CleanProtocol", "SeparateProtocol",
"EvaporateProtocol", "EvacuateAndRefillProtocol", "AGVTransferProtocol",
"BatchTransferItem", "BatchTransferProtocol",
"CentrifugeProtocol", "AddProtocol", "FilterProtocol",
"Point3D", "PumpTransferProtocol", "CleanProtocol", "SeparateProtocol",
"EvaporateProtocol", "EvacuateAndRefillProtocol", "AGVTransferProtocol",
"CentrifugeProtocol", "AddProtocol", "FilterProtocol",
"HeatChillProtocol",
"HeatChillStartProtocol", "HeatChillStopProtocol",
"StirProtocol", "StartStirProtocol", "StopStirProtocol",
"TransferProtocol", "CleanVesselProtocol", "DissolveProtocol",
"StirProtocol", "StartStirProtocol", "StopStirProtocol",
"TransferProtocol", "CleanVesselProtocol", "DissolveProtocol",
"FilterThroughProtocol", "RunColumnProtocol", "WashSolidProtocol",
"AdjustPHProtocol", "ResetHandlingProtocol", "DryProtocol",
"AdjustPHProtocol", "ResetHandlingProtocol", "DryProtocol",
"RecrystallizeProtocol", "HydrogenateProtocol"
]
# End Protocols

View File

@@ -825,6 +825,7 @@ def _extract_class_body(
action_args.setdefault("placeholder_keys", {})
action_args.setdefault("always_free", False)
action_args.setdefault("is_protocol", False)
action_args.setdefault("feedback_interval", 1.0)
action_args.setdefault("description", "")
action_args.setdefault("auto_prefix", False)
action_args.setdefault("parent", False)

View File

@@ -343,6 +343,7 @@ def action(
auto_prefix: bool = False,
parent: bool = False,
node_type: Optional["NodeType"] = None,
feedback_interval: Optional[float] = None,
):
"""
动作方法装饰器
@@ -378,9 +379,16 @@ def action(
"""
def decorator(func: F) -> F:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
import asyncio as _asyncio
if _asyncio.iscoroutinefunction(func):
@wraps(func)
async def wrapper(*args, **kwargs):
return await func(*args, **kwargs)
else:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# action_type 为哨兵值 => 用户没传, 视为 None (UniLabJsonCommand)
resolved_type = None if action_type is _ACTION_TYPE_UNSET else action_type
@@ -399,6 +407,8 @@ def action(
"auto_prefix": auto_prefix,
"parent": parent,
}
if feedback_interval is not None:
meta["feedback_interval"] = feedback_interval
if node_type is not None:
meta["node_type"] = node_type.value if isinstance(node_type, NodeType) else str(node_type)
wrapper._action_registry_meta = meta # type: ignore[attr-defined]

View File

@@ -31,6 +31,6 @@ hotel.thermo_orbitor_rs2_hotel:
type: object
model:
mesh: thermo_orbitor_rs2_hotel
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/thermo_orbitor_rs2_hotel/macro_device.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/thermo_orbitor_rs2_hotel/macro_device.xacro
type: device
version: 1.0.0

View File

@@ -329,7 +329,7 @@ robotic_arm.SCARA_with_slider.moveit.virtual:
type: object
model:
mesh: arm_slider
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/arm_slider/macro_device.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/arm_slider/macro_device.xacro
type: device
version: 1.0.0
robotic_arm.UR:

View File

@@ -1,368 +0,0 @@
agv_transport_station:
category:
- work_station
- transport_agv
class:
action_value_mappings:
AGVTransferProtocol:
feedback: {}
goal:
from_repo: from_repo
from_repo_position: from_repo_position
to_repo: to_repo
to_repo_position: to_repo_position
goal_default:
from_repo:
category: ''
children: []
config: ''
data: ''
id: ''
name: ''
parent: ''
pose:
orientation:
w: 1.0
x: 0.0
y: 0.0
z: 0.0
position:
x: 0.0
y: 0.0
z: 0.0
sample_id: ''
type: ''
from_repo_position: ''
to_repo:
category: ''
children: []
config: ''
data: ''
id: ''
name: ''
parent: ''
pose:
orientation:
w: 1.0
x: 0.0
y: 0.0
z: 0.0
position:
x: 0.0
y: 0.0
z: 0.0
sample_id: ''
type: ''
to_repo_position: ''
handles: {}
result: {}
schema:
description: ''
properties:
feedback:
properties:
status:
type: string
required:
- status
title: AGVTransfer_Feedback
type: object
goal:
properties:
from_repo:
properties:
category:
type: string
children:
items:
type: string
type: array
config:
type: string
data:
type: string
id:
type: string
name:
type: string
parent:
type: string
pose:
properties:
orientation:
properties:
w:
type: number
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
- w
title: orientation
type: object
position:
properties:
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
title: position
type: object
required:
- position
- orientation
title: pose
type: object
sample_id:
type: string
type:
type: string
required:
- id
- name
- sample_id
- children
- parent
- type
- category
- pose
- config
- data
title: from_repo
type: object
from_repo_position:
type: string
to_repo:
properties:
category:
type: string
children:
items:
type: string
type: array
config:
type: string
data:
type: string
id:
type: string
name:
type: string
parent:
type: string
pose:
properties:
orientation:
properties:
w:
type: number
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
- w
title: orientation
type: object
position:
properties:
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
title: position
type: object
required:
- position
- orientation
title: pose
type: object
sample_id:
type: string
type:
type: string
required:
- id
- name
- sample_id
- children
- parent
- type
- category
- pose
- config
- data
title: to_repo
type: object
to_repo_position:
type: string
required:
- from_repo
- from_repo_position
- to_repo
- to_repo_position
title: AGVTransfer_Goal
type: object
result:
properties:
return_info:
type: string
success:
type: boolean
required:
- return_info
- success
title: AGVTransfer_Result
type: object
required:
- goal
title: AGVTransfer
type: object
type: AGVTransfer
BatchTransferProtocol:
feedback: {}
goal:
from_positions: from_positions
from_repo: from_repo
to_positions: to_positions
to_repo: to_repo
transfer_resources: transfer_resources
goal_default:
from_positions: []
from_repo:
category: ''
children: []
config: ''
data: ''
id: ''
name: ''
parent: ''
pose:
orientation:
w: 1.0
x: 0.0
y: 0.0
z: 0.0
position:
x: 0.0
y: 0.0
z: 0.0
sample_id: ''
type: ''
to_positions: []
to_repo:
category: ''
children: []
config: ''
data: ''
id: ''
name: ''
parent: ''
pose:
orientation:
w: 1.0
x: 0.0
y: 0.0
z: 0.0
position:
x: 0.0
y: 0.0
z: 0.0
sample_id: ''
type: ''
transfer_resources: []
handles: {}
result: {}
schema:
description: AGV 批量物料转运协议
properties:
feedback: {}
goal:
properties:
from_positions:
items:
type: string
type: array
from_repo:
type: object
to_positions:
items:
type: string
type: array
to_repo:
type: object
transfer_resources:
items:
type: object
type: array
required:
- from_repo
- to_repo
- transfer_resources
- from_positions
- to_positions
type: object
result: {}
required:
- goal
title: BatchTransferProtocol
type: object
type: BatchTransfer
module: unilabos.devices.transport.agv_workstation:AGVTransportStation
status_types:
agv_status: String
carrier_status: String
type: python
config_info: []
description: 通用 AGV 转运工站。继承 WorkstationBase通过 Warehouse 子资源管理物料中转态。支持单物料和批量物料转运协议,路由表和子设备配置全部由
JSON 驱动。
handles: []
icon: ''
init_param_schema:
config:
properties:
device_roles:
properties:
arm:
type: string
navigator:
type: string
type: object
protocol_type:
items:
type: string
type: array
route_table:
type: object
type: object
data:
properties:
agv_status:
type: string
carrier_status:
type: string
type: object
version: 1.0.0

View File

@@ -3960,6 +3960,14 @@ virtual_separator:
io_type: source
label: bottom_phase_out
side: SOUTH
- data_key: top_outlet
data_source: executor
data_type: fluid
description: 上相(轻相)液体输出口
handler_key: topphaseout
io_type: source
label: top_phase_out
side: NORTH
- data_key: mechanical_port
data_source: handle
data_type: mechanical

View File

@@ -238,6 +238,7 @@ class Registry:
"class_name": "unilabos_class",
},
"always_free": True,
"feedback_interval": 300.0,
},
"test_latency": test_latency_action,
"auto-test_resource": test_resource_action,
@@ -829,8 +830,9 @@ class Registry:
raw_handles = (action_args or {}).get("handles")
handles = normalize_ast_action_handles(raw_handles) if isinstance(raw_handles, list) else (raw_handles or {})
# placeholder_keys: 优先用装饰器显式配置,否则从参数类型检测
pk = (action_args or {}).get("placeholder_keys") or detect_placeholder_keys(params)
# placeholder_keys: 先从参数类型自动检测,再用装饰器显式配置覆盖/补充
pk = detect_placeholder_keys(params)
pk.update((action_args or {}).get("placeholder_keys") or {})
# 从方法返回值类型生成 result schema
result_schema = None
@@ -852,6 +854,8 @@ class Registry:
}
if (action_args or {}).get("always_free") or method_info.get("always_free"):
entry["always_free"] = True
_fb_iv = (action_args or {}).get("feedback_interval", method_info.get("feedback_interval", 1.0))
entry["feedback_interval"] = _fb_iv
nt = normalize_enum_value((action_args or {}).get("node_type"), NodeType)
if nt:
entry["node_type"] = nt
@@ -975,10 +979,12 @@ class Registry:
"schema": schema,
"goal_default": goal_default,
"handles": handles,
"placeholder_keys": action_args.get("placeholder_keys") or detect_placeholder_keys(method_params),
"placeholder_keys": {**detect_placeholder_keys(method_params), **(action_args.get("placeholder_keys") or {})},
}
if action_args.get("always_free") or method_info.get("always_free"):
action_entry["always_free"] = True
_fb_iv = action_args.get("feedback_interval", method_info.get("feedback_interval", 1.0))
action_entry["feedback_interval"] = _fb_iv
nt = normalize_enum_value(action_args.get("node_type"), NodeType)
if nt:
action_entry["node_type"] = nt

View File

@@ -17,7 +17,7 @@ hplc_plate:
- 0
- 0
- 3.1416
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/hplc_plate/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/hplc_plate/modal.xacro
type: resource
version: 1.0.0
plate_96:
@@ -39,7 +39,7 @@ plate_96:
- 0
- 0
- 0
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96/modal.xacro
type: resource
version: 1.0.0
plate_96_high:
@@ -61,7 +61,7 @@ plate_96_high:
- 1.5708
- 0
- 1.5708
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96_high/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96_high/modal.xacro
type: resource
version: 1.0.0
tiprack_96_high:
@@ -76,7 +76,7 @@ tiprack_96_high:
init_param_schema: {}
model:
children_mesh: generic_labware_tube_10_75/meshes/0_base.stl
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
children_mesh_tf:
- 0.0018
- 0.0018
@@ -92,7 +92,7 @@ tiprack_96_high:
- 1.5708
- 0
- 1.5708
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_96_high/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_96_high/modal.xacro
type: resource
version: 1.0.0
tiprack_box:
@@ -107,7 +107,7 @@ tiprack_box:
init_param_schema: {}
model:
children_mesh: tip/meshes/tip.stl
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tip/modal.xacro
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tip/modal.xacro
children_mesh_tf:
- 0.0045
- 0.0045
@@ -123,6 +123,6 @@ tiprack_box:
- 0
- 0
- 0
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_box/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_box/modal.xacro
type: resource
version: 1.0.0

View File

@@ -11,7 +11,7 @@ bottle_container:
init_param_schema: {}
model:
children_mesh: bottle/meshes/bottle.stl
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle/modal.xacro
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle/modal.xacro
children_mesh_tf:
- 0.04
- 0.04
@@ -27,7 +27,7 @@ bottle_container:
- 0
- 0
- 0
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle_container/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle_container/modal.xacro
type: resource
version: 1.0.0
tube_container:
@@ -43,7 +43,7 @@ tube_container:
init_param_schema: {}
model:
children_mesh: tube/meshes/tube.stl
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube/modal.xacro
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube/modal.xacro
children_mesh_tf:
- 0.017
- 0.017
@@ -59,6 +59,6 @@ tube_container:
- 0
- 0
- 0
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube_container/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube_container/modal.xacro
type: resource
version: 1.0.0

View File

@@ -10,6 +10,6 @@ TransformXYZDeck:
init_param_schema: {}
model:
mesh: liquid_transform_xyz
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/liquid_transform_xyz/macro_device.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/liquid_transform_xyz/macro_device.xacro
type: device
version: 1.0.0

View File

@@ -10,7 +10,7 @@ OTDeck:
init_param_schema: {}
model:
mesh: opentrons_liquid_handler
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/opentrons_liquid_handler/macro_device.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/opentrons_liquid_handler/macro_device.xacro
type: device
version: 1.0.0
hplc_station:
@@ -25,6 +25,6 @@ hplc_station:
init_param_schema: {}
model:
mesh: hplc_station
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/hplc_station/macro_device.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/hplc_station/macro_device.xacro
type: device
version: 1.0.0

View File

@@ -109,7 +109,7 @@ nest_96_wellplate_100ul_pcr_full_skirt:
init_param_schema: {}
model:
children_mesh: generic_labware_tube_10_75/meshes/0_base.stl
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
children_mesh_tf:
- 0.0018
- 0.0018
@@ -125,7 +125,7 @@ nest_96_wellplate_100ul_pcr_full_skirt:
- -1.5708
- 0
- 1.5708
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
type: resource
version: 1.0.0
nest_96_wellplate_200ul_flat:
@@ -158,7 +158,7 @@ nest_96_wellplate_2ml_deep:
- -1.5708
- 0
- 1.5708
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
type: resource
version: 1.0.0
thermoscientificnunc_96_wellplate_1300ul:

View File

@@ -69,7 +69,7 @@ opentrons_96_filtertiprack_1000ul:
- -1.5708
- 0
- 1.5708
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
type: resource
version: 1.0.0
opentrons_96_filtertiprack_10ul:

View File

@@ -1033,7 +1033,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
logger.debug(f"🔍 [PLR→Bioyond] detail转换: {bottle.name} → PLR(x={site['x']},y={site['y']},id={site.get('identifier','?')}) → Bioyond(x={bioyond_x},y={bioyond_y})")
# 🔥 提取物料名称:从 tracker.liquids 中获取第一个液体的名称去除PLR系统添加的后缀
# tracker.liquids 格式: [(物料名称, 数量), ...]
# tracker.liquids 格式: [(物料名称, 数量, 单位), ...]
material_name = bottle_type_info[0] # 默认使用类型名称(如"样品瓶"
if hasattr(bottle, "tracker") and bottle.tracker.liquids:
# 如果有液体,使用液体的名称
@@ -1051,7 +1051,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
"typeId": bottle_type_info[1],
"code": bottle.code if hasattr(bottle, "code") else "",
"name": material_name, # 使用物料名称(如"9090"),而不是类型名称("样品瓶"
"quantity": sum(qty for _, qty in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"quantity": sum(qty for _, qty, *_ in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"x": bioyond_x,
"y": bioyond_y,
"z": 1,
@@ -1124,7 +1124,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
"barCode": "",
"name": material_name, # 使用物料名称而不是资源名称
"unit": default_unit, # 使用配置的单位或默认单位
"quantity": sum(qty for _, qty in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"quantity": sum(qty for _, qty, *_ in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"Parameters": parameters_json # API 实际要求的字段(必需)
}

View File

@@ -1,4 +1,5 @@
import json
import os
# from nt import device_encoding
import threading
@@ -61,7 +62,7 @@ def main(
rclpy.init(args=rclpy_init_args)
else:
logger.info("[ROS] rclpy already initialized, reusing context")
executor = rclpy.__executor = MultiThreadedExecutor()
executor = rclpy.__executor = MultiThreadedExecutor(num_threads=max(os.cpu_count() * 4, 48))
# 创建主机节点
host_node = HostNode(
"host_node",
@@ -122,7 +123,7 @@ def slave(
rclpy.init(args=rclpy_init_args)
executor = rclpy.__executor
if not executor:
executor = rclpy.__executor = MultiThreadedExecutor()
executor = rclpy.__executor = MultiThreadedExecutor(num_threads=max(os.cpu_count() * 4, 48))
# 1.5 启动 executor 线程
thread = threading.Thread(target=executor.spin, daemon=True, name="slave_executor_thread")

View File

@@ -142,16 +142,12 @@ _msg_converter: Dict[Type, Any] = {
),
Resource: lambda x: Resource(
id=x.get("id", ""),
uuid=x.get("uuid", ""),
name=x.get("name", ""),
sample_id=x.get("sample_id", "") or "",
description=x.get("description", ""),
children=list(x.get("children", [])),
parent=x.get("parent", "") or "",
parent_uuid=x.get("parent_uuid", ""),
type=x.get("type", ""),
category=x.get("category", "") or x.get("class", "") or x.get("type", ""),
klass=x.get("class", "") or x.get("klass", ""),
category=x.get("class", "") or x.get("type", ""),
pose=(
Pose(
position=Point(
@@ -164,11 +160,15 @@ _msg_converter: Dict[Type, Any] = {
else Pose()
),
config=json.dumps(x.get("config", {})),
data=json.dumps(x.get("data", {})),
extra=json.dumps(x.get("extra", {})),
data=json.dumps(obtain_data_with_uuid(x)),
),
}
def obtain_data_with_uuid(x: dict):
data = x.get("data", {})
data["unilabos_uuid"] = x.get("uuid", None)
return data
def json_or_yaml_loads(data: str) -> Any:
try:
return json.loads(data)
@@ -195,20 +195,15 @@ _msg_converter_back: Dict[Type, Any] = {
Point: lambda x: Point3D(x=x.x, y=x.y, z=x.z),
Resource: lambda x: {
"id": x.id,
"uuid": x.uuid if x.uuid else None,
"name": x.name,
"sample_id": x.sample_id if x.sample_id else None,
"description": x.description if x.description else "",
"children": list(x.children),
"parent": x.parent if x.parent else None,
"parent_uuid": x.parent_uuid if x.parent_uuid else None,
"type": x.type,
"class": x.klass if x.klass else "",
"category": x.category if x.category else "",
"class": "",
"position": {"x": x.pose.position.x, "y": x.pose.position.y, "z": x.pose.position.z},
"config": json_or_yaml_loads(x.config or "{}"),
"data": json_or_yaml_loads(x.data or "{}"),
"extra": json_or_yaml_loads(x.extra or "{}"),
},
}

View File

@@ -4,6 +4,8 @@ import json
import threading
import time
import traceback
from unilabos.utils.tools import fast_dumps_str as _fast_dumps_str, fast_loads as _fast_loads
from typing import (
get_type_hints,
TypeVar,
@@ -78,6 +80,67 @@ if TYPE_CHECKING:
T = TypeVar("T")
class RclpyAsyncMutex:
"""rclpy executor 兼容的异步互斥锁
通过 executor.create_task 唤醒等待者,避免 timer 的 InvalidHandle 问题。
"""
def __init__(self, name: str = ""):
self._lock = threading.Lock()
self._acquired = False
self._queue: List[Future] = []
self._name = name
self._holder: Optional[str] = None
async def acquire(self, node: "BaseROS2DeviceNode", tag: str = ""):
"""获取锁。如果已被占用,则异步等待直到锁释放。"""
# t0 = time.time()
with self._lock:
# qlen = len(self._queue)
if not self._acquired:
self._acquired = True
self._holder = tag
# node.lab_logger().debug(
# f"[Mutex:{self._name}] 获取锁 tag={tag} (无等待, queue=0)"
# )
return
waiter = Future()
self._queue.append(waiter)
# node.lab_logger().info(
# f"[Mutex:{self._name}] 等待锁 tag={tag} "
# f"(holder={self._holder}, queue={qlen + 1})"
# )
await waiter
# wait_ms = (time.time() - t0) * 1000
self._holder = tag
# node.lab_logger().info(
# f"[Mutex:{self._name}] 获取锁 tag={tag} (等了 {wait_ms:.0f}ms)"
# )
def release(self, node: "BaseROS2DeviceNode"):
"""释放锁,通过 executor task 唤醒下一个等待者。"""
with self._lock:
# old_holder = self._holder
if self._queue:
next_waiter = self._queue.pop(0)
# node.lab_logger().debug(
# f"[Mutex:{self._name}] 释放锁 holder={old_holder} → 唤醒下一个 (剩余 queue={len(self._queue)})"
# )
async def _wake():
if not next_waiter.done():
next_waiter.set_result(None)
rclpy.get_global_executor().create_task(_wake())
else:
self._acquired = False
self._holder = None
# node.lab_logger().debug(
# f"[Mutex:{self._name}] 释放锁 holder={old_holder} → 空闲"
# )
# 在线设备注册表
registered_devices: Dict[str, "DeviceInfoType"] = {}
@@ -355,6 +418,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
max_workers=max(len(action_value_mappings), 1), thread_name_prefix=f"ROSDevice{self.device_id}"
)
self._append_resource_lock = RclpyAsyncMutex(name=f"AR:{device_id}")
# 创建资源管理客户端
self._resource_clients: Dict[str, Client] = {
"resource_add": self.create_client(ResourceAdd, "/resources/add", callback_group=self.callback_group),
@@ -378,15 +443,40 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return res
async def append_resource(req: SerialCommand_Request, res: SerialCommand_Response):
_cmd = _fast_loads(req.command)
_res_name = _cmd.get("resource", [{}])
_res_name = (_res_name[0].get("id", "?") if isinstance(_res_name, list) and _res_name
else _res_name.get("id", "?") if isinstance(_res_name, dict) else "?")
_ar_tag = f"{_res_name}"
# _t_enter = time.time()
# self.lab_logger().info(f"[AR:{_ar_tag}] 进入 append_resource")
await self._append_resource_lock.acquire(self, tag=_ar_tag)
# _t_locked = time.time()
try:
return await _append_resource_inner(req, res, _ar_tag)
# _t_done = time.time()
# self.lab_logger().info(
# f"[AR:{_ar_tag}] 完成 "
# f"等锁={(_t_locked - _t_enter) * 1000:.0f}ms "
# f"执行={(_t_done - _t_locked) * 1000:.0f}ms "
# f"总计={(_t_done - _t_enter) * 1000:.0f}ms"
# )
except Exception as _ex:
self.lab_logger().error(f"[AR:{_ar_tag}] 异常: {_ex}")
raise
finally:
self._append_resource_lock.release(self)
async def _append_resource_inner(req: SerialCommand_Request, res: SerialCommand_Response, _ar_tag: str = ""):
from pylabrobot.resources.deck import Deck
from pylabrobot.resources import Coordinate
from pylabrobot.resources import Plate
# 物料传输到对应的node节点
# _t0 = time.time()
client = self._resource_clients["c2s_update_resource_tree"]
request = SerialCommand.Request()
request2 = SerialCommand.Request()
command_json = json.loads(req.command)
command_json = _fast_loads(req.command)
namespace = command_json["namespace"]
bind_parent_id = command_json["bind_parent_id"]
edge_device_id = command_json["edge_device_id"]
@@ -439,7 +529,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
f"更新物料{container_instance.name}出现不支持的数据类型{type(found_resource)} {found_resource}"
)
# noinspection PyUnresolvedReferences
request.command = json.dumps(
# _t1 = time.time()
# self.lab_logger().debug(
# f"[AR:{_ar_tag}] 准备完成 PLR转换+序列化 {((_t1 - _t0) * 1000):.0f}ms, 发送首次上传..."
# )
request.command = _fast_dumps_str(
{
"action": "add",
"data": {
@@ -450,7 +544,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
}
)
tree_response: SerialCommand.Response = await client.call_async(request)
uuid_maps = json.loads(tree_response.response)
# _t2 = time.time()
# self.lab_logger().debug(
# f"[AR:{_ar_tag}] 首次上传完成 {((_t2 - _t1) * 1000):.0f}ms"
# )
uuid_maps = _fast_loads(tree_response.response)
plr_instances = rts.to_plr_resources()
for plr_instance in plr_instances:
self.resource_tracker.loop_update_uuid(plr_instance, uuid_maps)
@@ -486,18 +584,12 @@ class BaseROS2DeviceNode(Node, Generic[T]):
if len(rts.root_nodes) == 1 and parent_resource is not None:
plr_instance = plr_instances[0]
if isinstance(plr_instance, Plate):
empty_liquid_info_in: List[Tuple[Optional[str], float]] = [(None, 0)] * plr_instance.num_items
if len(ADD_LIQUID_TYPE) == 1 and len(LIQUID_VOLUME) == 1 and len(LIQUID_INPUT_SLOT) > 1:
ADD_LIQUID_TYPE = ADD_LIQUID_TYPE * len(LIQUID_INPUT_SLOT)
LIQUID_VOLUME = LIQUID_VOLUME * len(LIQUID_INPUT_SLOT)
self.lab_logger().warning(
f"增加液体资源时数量为1自动补全为 {len(LIQUID_INPUT_SLOT)}"
)
for liquid_type, liquid_volume, liquid_input_slot in zip(
ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
):
empty_liquid_info_in[liquid_input_slot] = (liquid_type, liquid_volume)
plr_instance.set_well_liquids(empty_liquid_info_in)
try:
# noinspection PyProtectedMember
keys = list(plr_instance._ordering.keys())
@@ -511,6 +603,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
input_wells = []
for r in LIQUID_INPUT_SLOT:
input_wells.append(plr_instance.children[r])
for input_well, liquid_type, liquid_volume, liquid_input_slot in zip(
input_wells, ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
):
input_well.set_liquids([(liquid_type, liquid_volume, "ul")])
final_response["liquid_input_resource_tree"] = ResourceTreeSet.from_plr_resources(
input_wells
).dump()
@@ -529,12 +625,13 @@ class BaseROS2DeviceNode(Node, Generic[T]):
Coordinate(location["x"], location["y"], location["z"]),
**other_calling_param,
)
# 调整了液体以及Deck之后要重新Assign
# noinspection PyUnresolvedReferences
# _t3 = time.time()
rts_with_parent = ResourceTreeSet.from_plr_resources([parent_resource])
# _n_parent = len(rts_with_parent.all_nodes)
if rts_with_parent.root_nodes[0].res_content.uuid_parent is None:
rts_with_parent.root_nodes[0].res_content.parent_uuid = self.uuid
request.command = json.dumps(
request.command = _fast_dumps_str(
{
"action": "add",
"data": {
@@ -544,11 +641,18 @@ class BaseROS2DeviceNode(Node, Generic[T]):
},
}
)
# _t4 = time.time()
# self.lab_logger().debug(
# f"[AR:{_ar_tag}] 二次上传序列化 {_n_parent}节点 {((_t4 - _t3) * 1000):.0f}ms, 发送中..."
# )
tree_response: SerialCommand.Response = await client.call_async(request)
uuid_maps = json.loads(tree_response.response)
# _t5 = time.time()
uuid_maps = _fast_loads(tree_response.response)
self.resource_tracker.loop_update_uuid(input_resources, uuid_maps)
self._lab_logger.info(f"Resource tree added. UUID mapping: {len(uuid_maps)} nodes")
# 这里created_resources不包含parent_resource
# self._lab_logger.info(
# f"[AR:{_ar_tag}] 二次上传完成 HTTP={(_t5 - _t4) * 1000:.0f}ms "
# f"UUID映射={len(uuid_maps)}节点 总执行={(_t5 - _t0) * 1000:.0f}ms"
# )
# 发送给ResourceMeshManager
action_client = ActionClient(
self,
@@ -685,7 +789,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
)
# 发送请求并等待响应
response: SerialCommand_Response = await self._resource_clients["resource_get"].call_async(r)
if not response.response:
raise ValueError(f"查询资源 {resource_id} 失败:服务端返回空响应")
raw_data = json.loads(response.response)
if not raw_data:
raise ValueError(f"查询资源 {resource_id} 失败:返回数据为空")
# 转换为 PLR 资源
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
@@ -761,84 +869,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
f"物料{plr_resource}请求挂载{tree.root_node.res_content.name}的父节点{parent_resource}[{parent_uuid}]失败!\n{traceback.format_exc()}"
)
def batch_transfer_resources(
self,
transfers: List[Dict[str, Any]],
) -> List["ResourcePLR"]:
"""批量转移 PLR 资源:先全部 unassign再全部 assign最后一次性回调和同步
Args:
transfers: 转移列表,每项包含:
- "resource": PLR 资源对象
- "from_parent": 原父节点 (PLR ResourceHolder/WareHouse)
- "to_parent": 目标父节点
- "to_site": 目标 slot 名称(可选,用于 ItemizedCarrier
Returns:
成功转移的目标 parent 列表
"""
from pylabrobot.resources.resource import Resource as ResourcePLR
if not transfers:
return []
# 第一遍:校验所有物料和目标 parent 的合法性
for t in transfers:
resource = t["resource"]
to_parent = t["to_parent"]
if resource is None:
raise ValueError("转移列表中存在 resource=None")
if to_parent is None:
raise ValueError(f"物料 {resource} 的目标 parent 为 None")
# 第二遍:批量 unassign
old_parents = []
for t in transfers:
resource = t["resource"]
old_parent = resource.parent
old_parents.append(old_parent)
if old_parent is not None:
self.lab_logger().debug(f"批量 unassign: {resource.name}{old_parent.name}")
old_parent.unassign_child_resource(resource)
# 从顶级资源列表中移除(避免 figure_resource 重复引用)
resource_id = id(resource)
for i, r in enumerate(self.resource_tracker.resources):
if id(r) == resource_id:
self.resource_tracker.resources.pop(i)
break
# 第三遍:批量 assign
parents = []
for t, old_parent in zip(transfers, old_parents):
resource = t["resource"]
to_parent = t["to_parent"]
to_site = t.get("to_site")
additional_params = {}
if to_site is not None:
spec = inspect.signature(to_parent.assign_child_resource)
if "spot" in spec.parameters:
ordering_dict = getattr(to_parent, "_ordering", None)
if ordering_dict and to_site in ordering_dict:
additional_params["spot"] = list(ordering_dict.keys()).index(to_site)
else:
additional_params["spot"] = to_site
self.lab_logger().debug(f"批量 assign: {resource.name}{to_parent.name} site={to_site}")
to_parent.assign_child_resource(resource, location=None, **additional_params)
parents.append(to_parent)
# 一次性触发 driver 回调
func = getattr(self.driver_instance, "resource_tree_batch_transfer", None)
if callable(func):
func(transfers, old_parents, parents)
else:
# 兜底:逐个调用 resource_tree_transfer
single_func = getattr(self.driver_instance, "resource_tree_transfer", None)
if callable(single_func):
for t, old_parent, new_parent in zip(transfers, old_parents, parents):
single_func(old_parent, t["resource"], new_parent)
return parents
async def s2c_resource_tree(self, req: SerialCommand_Request, res: SerialCommand_Response):
"""
处理资源树更新请求
@@ -1212,7 +1242,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
if uid is None:
raise ValueError(f"目标物料{target_resource}没有unilabos_uuid属性无法转运")
target_uids.append(uid)
srv_address = f"/srv{target_device_id}/s2c_resource_tree"
_ns = target_device_id if target_device_id.startswith("/devices/") else f"/devices/{target_device_id.lstrip('/')}"
srv_address = f"/srv{_ns}/s2c_resource_tree"
sclient = self.create_client(SerialCommand, srv_address)
# 等待服务可用(设置超时)
if not sclient.wait_for_service(timeout_sec=5.0):
@@ -1262,7 +1293,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return False
time.sleep(0.05)
self.lab_logger().info(f"资源本地增加到{target_device_id}结果: {response.response}")
return None
return "转运完成"
def register_device(self):
"""向注册表中注册设备信息"""
@@ -1334,9 +1365,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return self._lab_logger
def create_ros_publisher(self, attr_name, msg_type, initial_period=5.0):
"""创建ROS发布者,仅当方法/属性有 @topic_config 装饰器时才创建"""
# 检测 @topic_config 装饰器配置
topic_config = {}
"""创建ROS发布者。已在 status_types 中声明的属性直接创建;@topic_config 用于覆盖默认参数"""
topic_cfg = {}
driver_class = type(self.driver_instance)
# 区分 @property 和普通方法两种情况
@@ -1345,23 +1375,17 @@ class BaseROS2DeviceNode(Node, Generic[T]):
)
if is_prop:
# @property: 检测 fget 上的 @topic_config
class_attr = getattr(driver_class, attr_name)
if class_attr.fget is not None:
topic_config = get_topic_config(class_attr.fget)
topic_cfg = get_topic_config(class_attr.fget)
else:
# 普通方法: 直接检测 attr_name 方法上的 @topic_config
if hasattr(self.driver_instance, attr_name):
method = getattr(self.driver_instance, attr_name)
if callable(method):
topic_config = get_topic_config(method)
# 没有 @topic_config 装饰器则跳过发布
if not topic_config:
return
topic_cfg = get_topic_config(method)
# 发布名称优先级: @topic_config(name=...) > get_ 前缀去除 > attr_name
cfg_name = topic_config.get("name")
cfg_name = topic_cfg.get("name")
if cfg_name:
publish_name = cfg_name
elif attr_name.startswith("get_"):
@@ -1369,10 +1393,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
else:
publish_name = attr_name
# 使用装饰器配置或默认值
cfg_period = topic_config.get("period")
cfg_print = topic_config.get("print_publish")
cfg_qos = topic_config.get("qos")
# @topic_config 参数覆盖默认值
cfg_period = topic_cfg.get("period")
cfg_print = topic_cfg.get("print_publish")
cfg_qos = topic_cfg.get("qos")
period: float = cfg_period if cfg_period is not None else initial_period
print_publish: bool = cfg_print if cfg_print is not None else self._print_publish
qos: int = cfg_qos if cfg_qos is not None else 10
@@ -1654,37 +1678,75 @@ class BaseROS2DeviceNode(Node, Generic[T]):
feedback_msg_types = action_type.Feedback.get_fields_and_field_types()
result_msg_types = action_type.Result.get_fields_and_field_types()
while future is not None and not future.done():
if goal_handle.is_cancel_requested:
self.lab_logger().info(f"取消动作: {action_name}")
future.cancel() # 尝试取消线程池中的任务
goal_handle.canceled()
return action_type.Result()
# 低频 feedback timer10s不阻塞完成检测
_feedback_timer = None
self._time_spent = time.time() - time_start
self._time_remaining = time_overall - self._time_spent
def _publish_feedback():
if future is not None and not future.done():
self._time_spent = time.time() - time_start
self._time_remaining = time_overall - self._time_spent
feedback_values = {}
for msg_name, attr_name in action_value_mapping["feedback"].items():
if hasattr(self.driver_instance, f"get_{attr_name}"):
method = getattr(self.driver_instance, f"get_{attr_name}")
if not asyncio.iscoroutinefunction(method):
feedback_values[msg_name] = method()
elif hasattr(self.driver_instance, attr_name):
feedback_values[msg_name] = getattr(self.driver_instance, attr_name)
if self._print_publish:
self.lab_logger().info(f"反馈: {feedback_values}")
feedback_msg = convert_to_ros_msg_with_mapping(
ros_msg_type=action_type.Feedback(),
obj=feedback_values,
value_mapping=action_value_mapping["feedback"],
)
goal_handle.publish_feedback(feedback_msg)
# 发布反馈
feedback_values = {}
for msg_name, attr_name in action_value_mapping["feedback"].items():
if hasattr(self.driver_instance, f"get_{attr_name}"):
method = getattr(self.driver_instance, f"get_{attr_name}")
if not asyncio.iscoroutinefunction(method):
feedback_values[msg_name] = method()
elif hasattr(self.driver_instance, attr_name):
feedback_values[msg_name] = getattr(self.driver_instance, attr_name)
if self._print_publish:
self.lab_logger().info(f"反馈: {feedback_values}")
feedback_msg = convert_to_ros_msg_with_mapping(
ros_msg_type=action_type.Feedback(),
obj=feedback_values,
value_mapping=action_value_mapping["feedback"],
if action_value_mapping.get("feedback"):
_fb_interval = action_value_mapping.get("feedback_interval", 0.5)
_feedback_timer = self.create_timer(
_fb_interval, _publish_feedback, callback_group=self.callback_group
)
goal_handle.publish_feedback(feedback_msg)
time.sleep(0.5)
# 等待 action 完成
if future is not None:
if isinstance(future, Task):
# rclpy Task直接 await完成瞬间唤醒
try:
_raw_result = await future
except Exception as e:
_raw_result = e
else:
# concurrent.futures.Future同步 action用 rclpy 兼容的轮询
_poll_future = Future()
def _on_sync_done(fut):
if not _poll_future.done():
_poll_future.set_result(None)
future.add_done_callback(_on_sync_done)
await _poll_future
try:
_raw_result = future.result()
except Exception as e:
_raw_result = e
# 确保 execution_error/success 被正确设置(不依赖 done callback 时序)
if isinstance(_raw_result, BaseException):
if not execution_error:
execution_error = traceback.format_exception(
type(_raw_result), _raw_result, _raw_result.__traceback__
)
execution_error = "".join(execution_error)
execution_success = False
action_return_value = _raw_result
elif not execution_error:
execution_success = True
action_return_value = _raw_result
# 清理 feedback timer
if _feedback_timer is not None:
_feedback_timer.cancel()
if future is not None and future.cancelled():
self.lab_logger().info(f"动作 {action_name} 已取消")
@@ -1693,8 +1755,12 @@ class BaseROS2DeviceNode(Node, Generic[T]):
# self.lab_logger().info(f"动作执行完成: {action_name}")
del future
# 执行失败时跳过物料状态更新
if execution_error:
execution_success = False
# 向Host更新物料当前状态
if action_name not in ["create_resource_detailed", "create_resource"]:
if not execution_error and action_name not in ["create_resource_detailed", "create_resource"]:
for k, v in goal.get_fields_and_field_types().items():
if v not in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
continue
@@ -1750,7 +1816,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
for attr_name in result_msg_types.keys():
if attr_name in ["success", "reached_goal"]:
setattr(result_msg, attr_name, True)
setattr(result_msg, attr_name, execution_success)
elif attr_name == "return_info":
setattr(
result_msg,
@@ -1856,7 +1922,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
raise ValueError("至少需要提供一个 UUID")
uuids_list = list(uuids)
future = self._resource_clients["c2s_update_resource_tree"].call_async(
future: Future = self._resource_clients["c2s_update_resource_tree"].call_async(
SerialCommand.Request(
command=json.dumps(
{
@@ -1882,6 +1948,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
raise Exception(f"资源查询返回空结果: {uuids_list}")
raw_data = json.loads(response.response)
if not raw_data:
raise Exception(f"资源原始查询返回空结果: {raw_data}")
# 转换为 PLR 资源
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
@@ -1903,10 +1971,15 @@ class BaseROS2DeviceNode(Node, Generic[T]):
mapped_plr_resources = []
for uuid in uuids_list:
found = None
for plr_resource in figured_resources:
r = self.resource_tracker.loop_find_with_uuid(plr_resource, uuid)
mapped_plr_resources.append(r)
break
if r is not None:
found = r
break
if found is None:
raise Exception(f"未能在已解析的资源树中找到 uuid={uuid} 对应的资源")
mapped_plr_resources.append(found)
return mapped_plr_resources
@@ -1999,16 +2072,27 @@ class BaseROS2DeviceNode(Node, Generic[T]):
f"执行动作时JSON缺少function_name或function_args: {ex}\n原JSON: {string}\n{traceback.format_exc()}"
)
async def _convert_resource_async(self, resource_data: Dict[str, Any]):
"""异步转换资源数据为实例"""
# 使用封装的get_resource_with_dir方法获取PLR资源
plr_resource = await self.get_resource_with_dir(resource_ids=resource_data["id"], with_children=True)
async def _convert_resource_async(self, resource_data: "ResourceDictType"):
"""异步转换 ResourceDictType 为 PLR 实例,优先用 uuid 查询"""
unilabos_uuid = resource_data.get("uuid")
if unilabos_uuid:
resource_tree = await self.get_resource([unilabos_uuid], with_children=True)
plr_resources = resource_tree.to_plr_resources()
if plr_resources:
plr_resource = plr_resources[0]
else:
raise ValueError(f"通过 uuid={unilabos_uuid} 查询资源为空")
else:
res_id = resource_data.get("id") or resource_data.get("name", "")
if not res_id:
raise ValueError(f"资源数据缺少 uuid 和 id: {list(resource_data.keys())}")
plr_resource = await self.get_resource_with_dir(resource_id=res_id, with_children=True)
# 通过资源跟踪器获取本地实例
res = self.resource_tracker.figure_resource(plr_resource, try_mode=True)
if len(res) == 0:
# todo: 后续通过decoration来区分减少warning
self.lab_logger().warning(f"资源转换未能索引到实例: {resource_data},返回新建实例")
self.lab_logger().warning(f"资源转换未能索引到实例: {resource_data.get('id', '?')},返回新建实例")
return plr_resource
elif len(res) == 1:
return res[0]

View File

@@ -4,6 +4,8 @@ import threading
import time
import traceback
import uuid
from unilabos.utils.tools import fast_dumps_str as _fast_dumps_str, fast_loads as _fast_loads
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Optional, Dict, Any, List, ClassVar, Set, Union
@@ -618,22 +620,17 @@ class HostNode(BaseROS2DeviceNode):
}
)
]
response: List[str] = await self.create_resource_detailed(
resources, device_ids, bind_parent_id, bind_location, other_calling_param
)
try:
assert len(response) == 1, "Create Resource应当只返回一个结果"
for i in response:
res = json.loads(i)
if "suc" in res:
raise ValueError(res.get("error"))
return res
except Exception as ex:
pass
_n = "\n"
raise ValueError(f"创建资源时失败!\n{_n.join(response)}")
assert len(response) == 1, "Create Resource应当只返回一个结果"
for i in response:
res = json.loads(i)
if "suc" in res and not res["suc"]:
raise ValueError(res.get("error", "未知错误"))
return res
raise ValueError(f"创建资源时失败!响应为空")
def initialize_device(self, device_id: str, device_config: ResourceDictInstance) -> None:
"""
@@ -1168,7 +1165,7 @@ class HostNode(BaseROS2DeviceNode):
else:
physical_setup_graph.nodes[resource_dict["id"]]["data"].update(resource_dict.get("data", {}))
response.response = json.dumps(uuid_mapping) if success else "FAILED"
response.response = _fast_dumps_str(uuid_mapping) if success else "FAILED"
self.lab_logger().info(f"[Host Node-Resource] Resource tree add completed, success: {success}")
async def _resource_tree_action_get_callback(self, data: dict, response: SerialCommand_Response): # OK
@@ -1178,6 +1175,7 @@ class HostNode(BaseROS2DeviceNode):
resource_response = http_client.resource_tree_get(uuid_list, with_children)
response.response = json.dumps(resource_response)
self.lab_logger().trace(f"[Host Node-Resource] Resource tree get request callback {response.response}")
async def _resource_tree_action_remove_callback(self, data: dict, response: SerialCommand_Response):
"""
@@ -1230,9 +1228,26 @@ class HostNode(BaseROS2DeviceNode):
"""
try:
# 解析请求数据
data = json.loads(request.command)
data = _fast_loads(request.command)
action = data["action"]
self.lab_logger().info(f"[Host Node-Resource] Resource tree {action} request received")
inner = data.get("data", {})
if action == "add":
mount_uuid = inner.get("mount_uuid", "?")[:8] if isinstance(inner, dict) else "?"
tree_data = inner.get("data", []) if isinstance(inner, dict) else inner
node_count = len(tree_data) if isinstance(tree_data, list) else "?"
source = f"mount={mount_uuid}.. nodes≈{node_count}"
elif action in ("get", "remove"):
uid_list = inner.get("data", inner) if isinstance(inner, dict) else inner
source = f"uuids={len(uid_list) if isinstance(uid_list, list) else '?'}"
elif action == "update":
tree_data = inner.get("data", []) if isinstance(inner, dict) else inner
node_count = len(tree_data) if isinstance(tree_data, list) else "?"
source = f"nodes≈{node_count}"
else:
source = ""
self.lab_logger().info(
f"[Host Node-Resource] Resource tree {action} request received ({source})"
)
data = data["data"]
if action == "add":
await self._resource_tree_action_add_callback(data, response)
@@ -1632,6 +1647,7 @@ class HostNode(BaseROS2DeviceNode):
def manual_confirm(self, timeout_seconds: int, assignee_user_ids: list[str], **kwargs) -> dict:
"""
timeout_seconds: 超时时间默认3600秒
修改的结果无效,是只读的
"""
return kwargs

View File

@@ -340,17 +340,8 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
) # type: ignore
raw_data = json.loads(response.response)
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
# 传递 ResourceDictInstance保留树结构不再调用 dump() 扁平化
if v == "unilabos_msgs/Resource":
# 单个资源:取第一棵树的根节点
root_instance = tree_set.trees[0].root_node if tree_set.trees else None
protocol_kwargs[k] = root_instance.get_plr_nested_dict() if root_instance else protocol_kwargs[k]
else:
# 多个资源:取每棵树的根节点
protocol_kwargs[k] = [
tree.root_node.get_plr_nested_dict() for tree in tree_set.trees
]
target = tree_set.dump()
protocol_kwargs[k] = target[0][0] if v == "unilabos_msgs/Resource" else target
except Exception as ex:
self.lab_logger().error(f"查询资源失败: {k}, 错误: {ex}\n{traceback.format_exc()}")
raise

View File

@@ -22,6 +22,447 @@
"arm_state": "idle",
"message": "工作台就绪"
}
},
{
"id": "PRCXI",
"name": "PRCXI",
"type": "device",
"class": "liquid_handler.prcxi",
"parent": "",
"pose": {
"size": {
"width": 562,
"height": 394,
"depth": 0
}
},
"config": {
"axis": "Left",
"deck": {
"_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck",
"_resource_child_name": "PRCXI_Deck"
},
"host": "10.20.30.184",
"port": 9999,
"debug": true,
"setup": true,
"is_9320": true,
"timeout": 10,
"matrix_id": "5de524d0-3f95-406c-86dd-f83626ebc7cb",
"simulator": true,
"channel_num": 2
},
"data": {
"reset_ok": true
},
"schema": {},
"description": "",
"model": null,
"position": {
"x": 0,
"y": 240,
"z": 0
}
},
{
"id": "PRCXI_Deck",
"name": "PRCXI_Deck",
"children": [],
"parent": "PRCXI",
"type": "deck",
"class": "",
"position": {
"x": 10,
"y": 10,
"z": 0
},
"config": {
"type": "PRCXI9300Deck",
"size_x": 542,
"size_y": 374,
"size_z": 0,
"rotation": {
"x": 0,
"y": 0,
"z": 0,
"type": "Rotation"
},
"category": "deck",
"barcode": null,
"preferred_pickup_location": null,
"sites": [
{
"label": "T1",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"container",
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T2",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T3",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T4",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T5",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T6",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T7",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T8",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T9",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T10",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T11",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T12",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T13",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T14",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T15",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T16",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
}
]
},
"data": {}
}
],
"links": []

View File

@@ -577,38 +577,17 @@
{
"id": "AGV",
"name": "AGV",
"children": ["zhixing_agv", "zhixing_ur_arm", "agv_platform"],
"children": ["zhixing_agv", "zhixing_ur_arm"],
"parent": null,
"type": "device",
"class": "agv_transport_station",
"class": "workstation",
"position": {
"x": 698.1111111111111,
"y": 478,
"z": 0
},
"config": {
"protocol_type": ["AGVTransferProtocol", "BatchTransferProtocol"],
"device_roles": {
"navigator": "zhixing_agv",
"arm": "zhixing_ur_arm"
},
"route_table": {
"AiChemEcoHiWo->Revvity": {
"nav_command": "{\"target\": \"LM14\"}",
"arm_pick": "{\"task_name\": \"camera/250111_biaozhi.urp\"}",
"arm_place": "{\"task_name\": \"camera/250111_put_board.urp\"}"
},
"Revvity->HPLC": {
"nav_command": "{\"target\": \"LM13\"}",
"arm_pick": "{\"task_name\": \"camera/250111_lfp.urp\"}",
"arm_place": "{\"task_name\": \"camera/250111_hplc.urp\"}"
},
"HPLC->Revvity": {
"nav_command": "{\"target\": \"LM13\"}",
"arm_pick": "{\"task_name\": \"camera/250111_hplc.urp\"}",
"arm_place": "{\"task_name\": \"camera/250111_lfp.urp\"}"
}
}
"protocol_type": ["AGVTransferProtocol"]
},
"data": {
}
@@ -648,27 +627,6 @@
},
"data": {
}
},
{
"id": "agv_platform",
"name": "agv_platform",
"children": [],
"parent": "AGV",
"type": "warehouse",
"class": "",
"position": {
"x": 698.1111111111111,
"y": 478,
"z": 0
},
"config": {
"name": "agv_platform",
"num_items_x": 2,
"num_items_y": 1,
"num_items_z": 1
},
"data": {
}
}
],
"links": [

View File

@@ -188,7 +188,13 @@ class EnvironmentChecker:
"crcmod": "crcmod-plus",
}
self.special_packages = {"pylabrobot": "git+https://github.com/Xuwznln/pylabrobot.git"}
# 中文 locale 下走 Gitee 镜像,规避 GitHub 拉取失败
pylabrobot_url = (
"git+https://gitee.com/xuwznln/pylabrobot.git"
if _is_chinese_locale()
else "git+https://github.com/Xuwznln/pylabrobot.git"
)
self.special_packages = {"pylabrobot": pylabrobot_url}
self.version_requirements = {
"msgcenterpy": "0.1.8",

View File

@@ -17,6 +17,14 @@ try:
default=json_default,
)
def fast_loads(data) -> dict:
"""JSON 反序列化,优先使用 orjson。接受 str / bytes。"""
return orjson.loads(data)
def fast_dumps_str(obj, **kwargs) -> str:
"""JSON 序列化为 str优先使用 orjson。用于需要 str 而非 bytes 的场景(如 ROS msg"""
return orjson.dumps(obj, option=orjson.OPT_NON_STR_KEYS, default=json_default).decode("utf-8")
def normalize_json(info: dict) -> dict:
"""经 JSON 序列化/反序列化一轮来清理非标准类型。"""
return orjson.loads(orjson.dumps(info, default=json_default))
@@ -29,6 +37,14 @@ except ImportError:
def fast_dumps_pretty(obj, **kwargs) -> bytes: # type: ignore[misc]
return json.dumps(obj, indent=2, ensure_ascii=False, cls=TypeEncoder).encode("utf-8")
def fast_loads(data) -> dict: # type: ignore[misc]
if isinstance(data, bytes):
data = data.decode("utf-8")
return json.loads(data)
def fast_dumps_str(obj, **kwargs) -> str: # type: ignore[misc]
return json.dumps(obj, ensure_ascii=False, cls=TypeEncoder)
def normalize_json(info: dict) -> dict: # type: ignore[misc]
return json.loads(json.dumps(info, ensure_ascii=False, cls=TypeEncoder))

View File

@@ -346,7 +346,7 @@ def refactor_data(
"template_name": template_name,
"resource_name": resource_name,
"description": step.get("description", step.get("purpose", f"{operation} operation")),
"lab_node_type": "Device",
"lab_node_type": "ILab",
"param": step.get("parameters", step.get("action_args", {})),
"footer": f"{template_name}-{resource_name}",
}

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